1,201 to 1,225 of 1,842 Data Engineering Jobs

Backend Engineer , you'll play a critical role in building and scaling the core platform. Working directly with the CTO and founding team, you'll design backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT … Airflow 20% AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement AI/LLM-powered features with LangChain and related frameworks Collaborate with the CTO and adoption engineering team to deliver production systems Contribute to architecture decisions for scalability … Team: 10-person founding group including CTO, Head of Front-End, and adoption engineers Reporting Line: CTO Visa: Cannot sponsor Ideal Profile: 5-8 years' experience in backend or data engineering (Python) Exposure to AI/LLMs, RAG, or personal AI side projects Experience in startups or scale-ups where you've helped build or grow systems Solid More ❯

Backend Engineer , you’ll play a critical role in building and scaling the core platform. Working directly with the CTO and founding team, you’ll design backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT … Airflow 20% AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement AI/LLM-powered features with LangChain and related frameworks Collaborate with the CTO and adoption engineering team to deliver production systems Contribute to architecture decisions for scalability … Team: 10-person founding group including CTO, Head of Front-End, and adoption engineers Reporting Line: CTO Visa: Cannot sponsor Ideal Profile: 5–8 years’ experience in backend or data engineering (Python) Exposure to AI/LLMs, RAG, or personal AI side projects Experience in startups or scale-ups where you’ve helped build or grow systems Solid More ❯

Backend Engineer , you’ll play a critical role in building and scaling the core platform. Working directly with the CTO and founding team, you’ll design backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT … Airflow 20% AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement AI/LLM-powered features with LangChain and related frameworks Collaborate with the CTO and adoption engineering team to deliver production systems Contribute to architecture decisions for scalability … Team: 10-person founding group including CTO, Head of Front-End, and adoption engineers Reporting Line: CTO Visa: Cannot sponsor Ideal Profile: 5–8 years’ experience in backend or data engineering (Python) Exposure to AI/LLMs, RAG, or personal AI side projects Experience in startups or scale-ups where you’ve helped build or grow systems Solid More ❯

Backend Engineer , you’ll play a critical role in building and scaling the core platform. Working directly with the CTO and founding team, you’ll design backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT … Airflow 20% AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement AI/LLM-powered features with LangChain and related frameworks Collaborate with the CTO and adoption engineering team to deliver production systems Contribute to architecture decisions for scalability … Team: 10-person founding group including CTO, Head of Front-End, and adoption engineers Reporting Line: CTO Visa: Cannot sponsor Ideal Profile: 5–8 years’ experience in backend or data engineering (Python) Exposure to AI/LLMs, RAG, or personal AI side projects Experience in startups or scale-ups where you’ve helped build or grow systems Solid More ❯

A well-established business in Brentford is seeking an experienced BI Developer to join their BI & Data Team as they embark on a major transformation journey, moving from legacy systems towards a modern Microsoft ecosystem built on Azure and Fabric. The team operates mostly remotely, with office collaboration up to once per week alongside the wider BI & Data … architecture, and ensure the new set-up supports analytics, forecasting, and AI enablement. Key responsibilities will include: Designing and delivering scalable BI solutions using Microsoft Fabric Building and managing data pipelines with OneLake, Dataflows Gen2, and Data Factory Developing semantic models in Power BI and integrating with DirectLake or Warehouse datasets Optimising data models for performance and … reusability Supporting governance, security, and compliance best practices in a modern data platform Tooling for migration and reconciliation of data from legacy systems or acquisitions Providing technical support and hands-on data engineering across the full stack We are looking for: Strong experience as a BI Developer, Data Engineer, or similar Hands-on experience with More ❯

A well-established business in Brentford is seeking an experienced BI Developer to join their BI & Data Team as they embark on a major transformation journey, moving from legacy systems towards a modern Microsoft ecosystem built on Azure and Fabric. The team operates mostly remotely, with office collaboration up to once per week alongside the wider BI & Data … architecture, and ensure the new set-up supports analytics, forecasting, and AI enablement. Key responsibilities will include: Designing and delivering scalable BI solutions using Microsoft Fabric Building and managing data pipelines with OneLake, Dataflows Gen2, and Data Factory Developing semantic models in Power BI and integrating with DirectLake or Warehouse datasets Optimising data models for performance and … reusability Supporting governance, security, and compliance best practices in a modern data platform Tooling for migration and reconciliation of data from legacy systems or acquisitions Providing technical support and hands-on data engineering across the full stack We are looking for: Strong experience as a BI Developer, Data Engineer, or similar Hands-on experience with More ❯

if you are the right candidate by reading through the complete overview below. London/Hybrid - £70,000 A fast-growing specialty insurance group is expanding its technology and data function following several high-profile acquisitions. Its London-based data team is now building a unified reporting platform that will underpin decision-making across multiple underwriting businesses. As … a BI Developer, you'll sit at the centre of this transformation, turning complex insurance and operational data into clear, trusted insight. You'll work across Power BI, Databricks and Azure, shaping the reporting and data models that drive better commercial and underwriting outcomes. What you'll be doing Develop and optimise SQL scripts, stored procedures and data models in Azure and Databricks Build and maintain interactive Power BI dashboards and reports Collaborate with Product, Data Engineering and ETL teams to ensure data accuracy and alignment Support the build-out of a shared data warehouse and self-service reporting environment What you'll bring 3+ years' experience in BI development using Power BI More ❯

+ bonus + benefits Company Overview Join a leading global trading firm that combines cutting-edge technology with a collaborative culture to achieve excellence. The Cloud Engineering team builds and maintains the core infrastructure supporting data, AI, and trading operations, providing the scalable, secure, and highly automated foundation that drives the firm’s success. You’ll work on … a sophisticated, modern GCP-based tech stack and contribute directly to platforms supporting Trading, Data Engineering, Back Office, and other core technology teams - in a high-impact, high-performance environment. What’s In It For You Global Trading Environment: Collaborate with world-class engineers and data specialists at the forefront of financial technology. Modern Tech Stack: Work … hands-on with GCP, Terraform, Kubernetes, GitLab, and BigQuery. Continuous Growth: Gain exposure to advanced automation, AI-assisted engineering, and scalable cloud architecture. Culture & Collaboration: Flat structure, open communication, and genuine engagement with senior leadership. Benefits Package: Includes private health and dental insurance, generous pension scheme, wellbeing support, and flexible leave. Hybrid Flexibility: Work in a collaborative London office More ❯

+ bonus + benefits Company Overview Join a leading global trading firm that combines cutting-edge technology with a collaborative culture to achieve excellence. The Cloud Engineering team builds and maintains the core infrastructure supporting data, AI, and trading operations, providing the scalable, secure, and highly automated foundation that drives the firm’s success. You’ll work on … a sophisticated, modern GCP-based tech stack and contribute directly to platforms supporting Trading, Data Engineering, Back Office, and other core technology teams - in a high-impact, high-performance environment. What’s In It For You Global Trading Environment: Collaborate with world-class engineers and data specialists at the forefront of financial technology. Modern Tech Stack: Work … hands-on with GCP, Terraform, Kubernetes, GitLab, and BigQuery. Continuous Growth: Gain exposure to advanced automation, AI-assisted engineering, and scalable cloud architecture. Culture & Collaboration: Flat structure, open communication, and genuine engagement with senior leadership. Benefits Package: Includes private health and dental insurance, generous pension scheme, wellbeing support, and flexible leave. Hybrid Flexibility: Work in a collaborative London office More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, 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 More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, 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 More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, 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 More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, 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 More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, 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 More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, 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 More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, 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 More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, 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 More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, 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 More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, 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 More ❯

Insight Global is looking for a AI Engineer for one of their premier Energy Trading clients in London, UK. The AI Engineer will join a vibrant team of Data Scientists and ML Engineers working with the Trading & Supply Capability Center (CC). He or she will be responsible for initiating, development and deployment of GenAI solutions/products in … include: Lead the technical direction of GenAI focused projects and initiatives Mentor junior AI engineers and help software engineers upskill on GenAI relevant techniques and tools Working within the Data Science and ML team to build and deploy GenAI solutions to production, using existing and emerging methods and technologies that could be effectively applied to use cases Build core … infrastructure around feature engineering, model training, model deployment, ongoing monitoring tools, and much more. Building and define key evaluation systems and processes to ensure GenAI Tooling performs at a high standard Help guide and define strategic ambitions relevant to GenAI tooling and projects Work closely with Infrastructure, data engineering and DevOps teams to increase deployment velocity, including More ❯

Insight Global is looking for a AI Engineer for one of their premier Energy Trading clients in London, UK. The AI Engineer will join a vibrant team of Data Scientists and ML Engineers working with the Trading & Supply Capability Center (CC). He or she will be responsible for initiating, development and deployment of GenAI solutions/products in … include: Lead the technical direction of GenAI focused projects and initiatives Mentor junior AI engineers and help software engineers upskill on GenAI relevant techniques and tools Working within the Data Science and ML team to build and deploy GenAI solutions to production, using existing and emerging methods and technologies that could be effectively applied to use cases Build core … infrastructure around feature engineering, model training, model deployment, ongoing monitoring tools, and much more. Building and define key evaluation systems and processes to ensure GenAI Tooling performs at a high standard Help guide and define strategic ambitions relevant to GenAI tooling and projects Work closely with Infrastructure, data engineering and DevOps teams to increase deployment velocity, including More ❯

Insight Global is looking for a AI Engineer for one of their premier Energy Trading clients in London, UK. The AI Engineer will join a vibrant team of Data Scientists and ML Engineers working with the Trading & Supply Capability Center (CC). He or she will be responsible for initiating, development and deployment of GenAI solutions/products in … include: Lead the technical direction of GenAI focused projects and initiatives Mentor junior AI engineers and help software engineers upskill on GenAI relevant techniques and tools Working within the Data Science and ML team to build and deploy GenAI solutions to production, using existing and emerging methods and technologies that could be effectively applied to use cases Build core … infrastructure around feature engineering, model training, model deployment, ongoing monitoring tools, and much more. Building and define key evaluation systems and processes to ensure GenAI Tooling performs at a high standard Help guide and define strategic ambitions relevant to GenAI tooling and projects Work closely with Infrastructure, data engineering and DevOps teams to increase deployment velocity, including More ❯

Insight Global is looking for a AI Engineer for one of their premier Energy Trading clients in London, UK. The AI Engineer will join a vibrant team of Data Scientists and ML Engineers working with the Trading & Supply Capability Center (CC). He or she will be responsible for initiating, development and deployment of GenAI solutions/products in … include: Lead the technical direction of GenAI focused projects and initiatives Mentor junior AI engineers and help software engineers upskill on GenAI relevant techniques and tools Working within the Data Science and ML team to build and deploy GenAI solutions to production, using existing and emerging methods and technologies that could be effectively applied to use cases Build core … infrastructure around feature engineering, model training, model deployment, ongoing monitoring tools, and much more. Building and define key evaluation systems and processes to ensure GenAI Tooling performs at a high standard Help guide and define strategic ambitions relevant to GenAI tooling and projects Work closely with Infrastructure, data engineering and DevOps teams to increase deployment velocity, including More ❯

Insight Global is looking for a AI Engineer for one of their premier Energy Trading clients in London, UK. The AI Engineer will join a vibrant team of Data Scientists and ML Engineers working with the Trading & Supply Capability Center (CC). He or she will be responsible for initiating, development and deployment of GenAI solutions/products in … include: Lead the technical direction of GenAI focused projects and initiatives Mentor junior AI engineers and help software engineers upskill on GenAI relevant techniques and tools Working within the Data Science and ML team to build and deploy GenAI solutions to production, using existing and emerging methods and technologies that could be effectively applied to use cases Build core … infrastructure around feature engineering, model training, model deployment, ongoing monitoring tools, and much more. Building and define key evaluation systems and processes to ensure GenAI Tooling performs at a high standard Help guide and define strategic ambitions relevant to GenAI tooling and projects Work closely with Infrastructure, data engineering and DevOps teams to increase deployment velocity, including More ❯

Data Engineer Hybrid (West Midlands) Permanent Competitive Salary + Benefits Are you passionate about building scalable data solutions and working with cutting-edge technologies like Microsoft Fabric, Azure, and Power BI? TXP is looking for a talented Data Engineer to join our growing team and help shape the future of data-driven decision-making. We are … power of technology and people, and we help everyone here to succeed. At TXP, you can multiply your potential. What You'll Be Doing Designing, developing, and maintaining robust data pipelines. Building and optimising infrastructure for scalable data solutions. Integrating data from diverse sources across the business. Ensuring data integrity, security, and compliance with best practices. … Collaborating with cross-functional teams including analysts, developers, and business stakeholders. Leveraging Microsoft Fabric (Lakehouse, Data Pipelines) to modernise our data architecture. Supporting CI/CD and DevOps practices for data workflows. What We're Looking For Proven experience as a Data Engineer or in a similar role. Strong coding skills in SQL , Python , and PySpark More ❯