651 to 675 of 3,022 Remote CI/CD Jobs

Senior Software Engineer – National Security - SC Clearable - Python - AWS Role: Senior Software Engineer Location: Bristol / Hybrid Work Clearance: SC Cleared / Eligible for SC Salary: £55,000 - £70,000 About the Role We’re seeking talented Senior Software Engineers with strong Python and AWS experience to join Agile delivery teams supporting a range of complex and high … Do Design, develop, and test robust software solutions using modern engineering practices. Work with a range of open-source libraries, frameworks, and components. Build and maintain CI / CD pipelines using tools such as GitLab , ensuring code quality and security. Deploy software systems across public (AWS) and private cloud environments. Engage in all stages of … the UK for the last 5 years. Culture & Benefits We take pride in creating an environment where everyone can thrive — valuing innovation, teamwork, and personal growth. Wellbeing: Free 24 / 7 counselling helpline and employee assistance programme Flexibility: Central Bristol office with hybrid working available Growth: Dedicated career coach to support personal and professional development Social: Regular team get More ❯

Senior Software Engineer – National Security - SC Clearable - Python - AWS Role: Senior Software Engineer Location: Cheltenham / Hybrid Work Clearance: SC Cleared / Eligible for SC Salary: £55,000 - £70,000 About the Role We’re seeking talented Senior Software Engineers with strong Python and AWS experience to join Agile delivery teams supporting a range of complex and high … Do Design, develop, and test robust software solutions using modern engineering practices. Work with a range of open-source libraries, frameworks, and components. Build and maintain CI / CD pipelines using tools such as GitLab , ensuring code quality and security. Deploy software systems across public (AWS) and private cloud environments. Engage in all stages of … the UK for the last 5 years. Culture & Benefits We take pride in creating an environment where everyone can thrive — valuing innovation, teamwork, and personal growth. Wellbeing: Free 24 / 7 counselling helpline and employee assistance programme Flexibility: Cheltenham office with hybrid working available Growth: Dedicated career coach to support personal and professional development Social: Regular team get-togethers More ❯

Senior Software Engineer – National Security - SC Clearable - Python - AWS Role: Senior Software Engineer Location: Bristol / Hybrid Work Clearance: SC Cleared / Eligible for SC Salary: £55,000 - £70,000 About the Role We’re seeking talented Senior Software Engineers with strong Python and AWS experience to join Agile delivery teams supporting a range of complex and high … Do Design, develop, and test robust software solutions using modern engineering practices. Work with a range of open-source libraries, frameworks, and components. Build and maintain CI / CD pipelines using tools such as GitLab , ensuring code quality and security. Deploy software systems across public (AWS) and private cloud environments. Engage in all stages of … the UK for the last 5 years. Culture & Benefits We take pride in creating an environment where everyone can thrive — valuing innovation, teamwork, and personal growth. Wellbeing: Free 24 / 7 counselling helpline and employee assistance programme Flexibility: Central Bristol office with hybrid working available Growth: Dedicated career coach to support personal and professional development Social: Regular team get More ❯

At D / Gauge, we are a pioneering engineering consultancy and software provider specialising in railway simulation. As part of the TÜV Rheinland family, we combine innovation with global expertise to deliver industry-leading solutions. Responsibilities: Rapidly build high quality new features into the software Work with Delivery, QA, and Support stakeholders to balance new features with customer feedback … to the delivery team Positive and flexible attitude to managing time Ability to learn quickly and confidence to start adding value immediately Comfortable with an agile, CI / CD, DevOps environment Excellent communication skills, when collaborating as a team Excellent SQL and data analysis skills Quick-thinking problem solver who is comfortable with rudimentary maths … Advocate of Agile best practices Good knowledge of development principles such as SOLID, TDD, DRY, and Lean Software Development. Desirable Experience Microsoft Azure Tools (DevOps) and cloud infrastructure (Apps / DBs) Software architecture experience (data, application, and platform design) Knowledge of the rail or engineering sectors Desirable eye for design and knowledge of UI / UX best practices More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

build modern data solutions while developing consulting and leadership skills. Key Responsibilities Design, develop, and deliver scalable data pipelines and integrations on cloud data platforms. Build and optimise ETL / ELT solutions using best practices in data modelling and architecture. Collaborate with client teams to understand requirements and design tailored data solutions. Work across Snowflake, Databricks, AWS, Azure , or … on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL / ELT pipelines and data warehousing principles . Strong communication and problem-solving skills. Ability to work both independently and collaboratively within client teams. Desirable: Consulting experience or client-facing … delivery background. Familiarity with tools such as dbt, Fivetran, Matillion , or similar. Programming skills in Python, Java, or Scala . Cloud certifications (SnowPro, Databricks Certified, AWS / Azure / GCP). Knowledge of DataOps, CI / CD , and infrastructure-as-code concepts. What’s on Offer Hybrid working model (2–3 days per More ❯

build modern data solutions while developing consulting and leadership skills. Key Responsibilities Design, develop, and deliver scalable data pipelines and integrations on cloud data platforms. Build and optimise ETL / ELT solutions using best practices in data modelling and architecture. Collaborate with client teams to understand requirements and design tailored data solutions. Work across Snowflake, Databricks, AWS, Azure , or … on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL / ELT pipelines and data warehousing principles . Strong communication and problem-solving skills. Ability to work both independently and collaboratively within client teams. Desirable: Consulting experience or client-facing … delivery background. Familiarity with tools such as dbt, Fivetran, Matillion , or similar. Programming skills in Python, Java, or Scala . Cloud certifications (SnowPro, Databricks Certified, AWS / Azure / GCP). Knowledge of DataOps, CI / CD , and infrastructure-as-code concepts. What’s on Offer Hybrid working model (2–3 days per More ❯

product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML / infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: Proven experience … including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI / CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging … and observability for large-scale ML systems. Experience in cost optimisation for compute / GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast More ❯

build modern data solutions while developing consulting and leadership skills. Key Responsibilities Design, develop, and deliver scalable data pipelines and integrations on cloud data platforms. Build and optimise ETL / ELT solutions using best practices in data modelling and architecture. Collaborate with client teams to understand requirements and design tailored data solutions. Work across Snowflake, Databricks, AWS, Azure , or … on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL / ELT pipelines and data warehousing principles . Strong communication and problem-solving skills. Ability to work both independently and collaboratively within client teams. Desirable: Consulting experience or client-facing … delivery background. Familiarity with tools such as dbt, Fivetran, Matillion , or similar. Programming skills in Python, Java, or Scala . Cloud certifications (SnowPro, Databricks Certified, AWS / Azure / GCP). Knowledge of DataOps, CI / CD , and infrastructure-as-code concepts. What's on Offer Hybrid working model (2-3 days per More ❯

build modern data solutions while developing consulting and leadership skills. Key Responsibilities Design, develop, and deliver scalable data pipelines and integrations on cloud data platforms. Build and optimise ETL / ELT solutions using best practices in data modelling and architecture. Collaborate with client teams to understand requirements and design tailored data solutions. Work across Snowflake, Databricks, AWS, Azure , or … on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL / ELT pipelines and data warehousing principles . Strong communication and problem-solving skills. Ability to work both independently and collaboratively within client teams. Desirable: Consulting experience or client-facing … delivery background. Familiarity with tools such as dbt, Fivetran, Matillion , or similar. Programming skills in Python, Java, or Scala . Cloud certifications (SnowPro, Databricks Certified, AWS / Azure / GCP). Knowledge of DataOps, CI / CD , and infrastructure-as-code concepts. What’s on Offer Hybrid working model (2–3 days per More ❯

build modern data solutions while developing consulting and leadership skills. Key Responsibilities Design, develop, and deliver scalable data pipelines and integrations on cloud data platforms. Build and optimise ETL / ELT solutions using best practices in data modelling and architecture. Collaborate with client teams to understand requirements and design tailored data solutions. Work across Snowflake, Databricks, AWS, Azure , or … on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL / ELT pipelines and data warehousing principles . Strong communication and problem-solving skills. Ability to work both independently and collaboratively within client teams. Desirable: Consulting experience or client-facing … delivery background. Familiarity with tools such as dbt, Fivetran, Matillion , or similar. Programming skills in Python, Java, or Scala . Cloud certifications (SnowPro, Databricks Certified, AWS / Azure / GCP). Knowledge of DataOps, CI / CD , and infrastructure-as-code concepts. What’s on Offer Hybrid working model (2–3 days per More ❯