76 to 100 of 235 ETL Jobs in the South East

proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision datasets-or the ability to quickly upskill in 3D data workflows. More ❯

proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision datasets-or the ability to quickly upskill in 3D data workflows. More ❯

Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. Strong debugging and problem-solving skills across distributed More ❯

Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. Strong debugging and problem-solving skills across distributed More ❯

Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. Strong debugging and problem-solving skills across distributed More ❯

Familiarity with distributed system patterns and architectural trade-offs. Experience with performance tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker More ❯

Familiarity with distributed system patterns and architectural trade-offs. Experience with performance tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker More ❯

Manage and manipulate large, complex data sets from multiple sources. Develop and maintain dashboards to support data quality improvements. Support reporting and analytics delivery through corporate intranet tools. Perform ETL (Extract, Transform, Load) processes on various data sources. Collaborate with Applications team to ensure accurate information delivery. Provide 1st line application/reporting support to internal users. Key Skills & Experience More ❯

Manage and manipulate large, complex data sets from multiple sources. Develop and maintain dashboards to support data quality improvements. Support reporting and analytics delivery through corporate intranet tools. Perform ETL (Extract, Transform, Load) processes on various data sources. Collaborate with Applications team to ensure accurate information delivery. Provide 1st line application/reporting support to internal users. Key Skills & Experience More ❯

. Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data engineering , schema design, ETL, and optimisation. Proficiency with cloud (AWS preferred) and containerised deployments (Docker, ECS). Knowledge of secure coding practices and managing sensitive data. Excellent communication, problem-solving, and leadership skills. Nice More ❯

complex data modeling Strong SQL skills for data extraction, transformation, and performance optimisation (essential) Solid understanding of data warehousing principles such as star and snowflake schemas, as well as ETL processes Experience in designing and implementing semantic and tabular models for reporting solutions Excellent communication abilities with proven experience collaborating with clients (essential) Contract: Outside IR35 Remote with some work More ❯

AWS Athena). Hands-on experience with data model analysis, requirement capture, and refinement . Proven track record in cloud migration projects , ideally involving AWS. Familiarity with data warehousing, ETL/ELT, and reporting solutions . Excellent communication skills; able to engage technical and non-technical stakeholders. Agile/Scrum experience. Desirable AWS certifications (e.g. Data Analytics, Solutions Architect). More ❯

AWS Athena). Hands-on experience with data model analysis, requirement capture, and refinement . Proven track record in cloud migration projects , ideally involving AWS. Familiarity with data warehousing, ETL/ELT, and reporting solutions . Excellent communication skills; able to engage technical and non-technical stakeholders. Agile/Scrum experience. Desirable AWS certifications (e.g. Data Analytics, Solutions Architect). More ❯

understanding and command of Data Pipelines Excellent communication skills Flexible approach towards hybrid working when required Nice to have: Exposure to Microsoft Fabric Experience in large Data Migration projects (ETL) Immediate availability Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept More ❯

in Python or Scala for data processing Strong SQL skills for querying and managing relational databases Experience with AWS services including S3, Glue, Redshift, Lambda, and Athena Knowledge of ETL processes and data pipeline development Understanding of data modelling and data warehousing concepts Familiarity with version control systems, particularly Git Desirable Skills: Experience with infrastructure as code tools such as More ❯

in Python or Scala for data processing Strong SQL skills for querying and managing relational databases Experience with AWS services including S3, Glue, Redshift, Lambda, and Athena Knowledge of ETL processes and data pipeline development Understanding of data modelling and data warehousing concepts Familiarity with version control systems, particularly Git Desirable Skills: Experience with infrastructure as code tools such as More ❯

GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. More ❯

GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. More ❯

GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. More ❯

frameworks (PyTorch, TensorFlow) Solid understanding of CI/CD, Git, testing, and agile methodologies Hands-on experience with Linux, Docker, and containerized deployments Familiarity with data engineering concepts (SQL, ETL, data lakes) Experience with orchestration frameworks like LangChain, LangGraph, or Semantic Kernel Cloud deployment experience (AWS, GCP, Azure) Work on high-impact AI projects that shape the future of telecoms More ❯

in event-driven and eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work as how you feel More ❯

various data modelling techniques and tools. Deep understanding of different data storage solutions (e.g., relational, NoSQL, data lakes) and their appropriate use cases. Strong knowledge of data integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access More ❯

predictive modeling, AI/ML, clustering, segmentation, and statistical analysis . Requirements: Strong SQL skills. Experience with BI tools such as Looker, Tableau, or equivalent. Knowledge of data warehousing, ETL systems , or modern equivalents like DBT. Proven ability to communicate insights to stakeholders and drive action. Strong problem-solving skills and ability to explain complex concepts simply. Adaptable, quick to More ❯

successful in this role, you will have: Proven experience in data engineering using Azure, Databricks, and SQL. Strong leadership and mentoring skills within data or BI teams. Expertise in ETL orchestration and data architecture in an Azure cloud environment. Excellent communication and stakeholder engagement skills. Some of the package/role details include: Salary up to £95,000 Discretionary annual More ❯

field and/or statistical background. Technical requirements: Proficient in SQL?and hands-on coding experience with Python for Data Analytics Experience with setting up and automating data pipelines, ETL processes, etc Proficiency in using data visualization tools such as PowerBI or Tableau In-depth experience with Adobe Analytics or Google Analytics Expert at designing, running and interpreting AB tests. More ❯