1 to 25 of 88 Remote/Hybrid ETL Jobs in London

Strong experience in a Data Engineering delivering data solutions in fast-paced environments Hands-on experience with Microsoft Fabric Proven track record working with ETL processes, data integration and pipeline development Advanced SQL/T-SQL skills Experience designing and implementing data models to support reporting and analytical use cases ...

Data Engineering role delivering data solutions within complex environments Hands-on experience with Microsoft Fabric and modern cloud-based data platforms Strong background in ETL development, data integration and pipeline engineering Advanced SQL/T-SQL development skills Experience designing and implementing data models for reporting and analytical requirements Experience ...

data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps). Expertise ...

data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps). Expertise ...

such as Snowflake, BigQuery, Redshift or similar. Experience with cloud-based data platforms, particularly AWS or GCP. Experience with data warehousing, data modelling, and ETL development. Strong analytical & communication skills and an understanding of what drives the performance of a product to reach the company's commercial goals. Hands ...

Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala or SQL for data engineering Experience building scalable ETL pipelines (Workflows, Delta Live Tables) Hands-on experience with Azure, AWS or GCP (storage, compute, networking) Knowledge of Databricks security: RBAC, IAM, encryption Excellent analytical ...

standardisation: Experience in resolving data quality issues and ensuring data accuracy through cleansing and standardisation techniques. Use of data integration tools: Skilled in using ETL tools for data integration and storage. Ensures data interoperability with other datasets. Collaboration with data professionals: Experience collaborating with other data professionals to improve modelling ...

standardisation: Experience in resolving data quality issues and ensuring data accuracy through cleansing and standardisation techniques. Use of data integration tools: Skilled in using ETL tools for data integration and storage. Ensures data interoperability with other datasets. Collaboration with data professionals: Experience collaborating with other data professionals to improve modelling ...

Skills Experience with enterprise data management platforms, ideally: Informatica SAP MDG SQL skills for data analysis, profiling, reconciliation, and validation. Understanding of: Data Lakes ETL processes Data integration patterns Knowledge of: SAP ECC SAP S/4HANA SAP BW Azure Data Lake Databricks Power BI Key Competencies Analytical and problem ...

enterprise-wide data governance policies and regulatory standards. Data pipeline automation and orchestration: Experience with Foundry's Pipeline Builder for designing, developing, and automating ETL processes that ensure the availability of clean, curated data for business analytics and decision-making. Code development, testing, and deployment in Foundry: Demonstrated ability ...

Azure or GCP BigQuery and big data technologies like Spark, Flink etc. Solid grasp of Kubernetes, CI/CD and Terraform. Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow and dbt. Ability to provide clear input, guide, empower junior members of the team to achieve desired ...

Azure or GCP BigQuery and big data technologies like Spark, Flink etc. Solid grasp of Kubernetes, CI/CD and Terraform. Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow and dbt. Ability to provide clear input, guide, empower junior members of the team to achieve desired ...

Data Engineering solutions + identifying data migration requirements. Onboarding datasets, users + workloads onto target platform. Data Engineering: Python, PySpark, SQL, Data Pipeline Development, ETL/ELT Design, Data Modelling, Data Quality, Data Validation. AWS Cloud Platform, S3, IAM, CI/CD concepts, DevOps principles, Agile Delivery. Advantageous Skills: Databricks ...

solving abilities, with a focus on turning data into meaningful insights. Additional Skills & Qualifications experience with Qlik scripting and data load processes. experience with ETL and data integration concepts and tools. Exposure to other BI tools such as Power BI or Tableau. experience working within regulated or enterprise-scale environments. ...

Programming & Frameworks Strong Python development skills PyTorch TensorFlow Scikit-Learn LangChain LangGraph Hugging Face FastAPI REST APIs Data Technologies SQL NoSQL Databases Data Modelling ETL Development Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock ...

unable to work at home 100% of the time. Your Role: Design, develop, and optimize Hadoop-based data ingestion and processing pipelines. Build ETL/ELT workflows using Spark, Hive, Sqoop, Kafka, and other big data tools. Integrate data from banking, trading, payments, risk, and customer management systems. Ensure data ...

Base SAS SAS Macros SAS SQL Data Step programming SAS Enterprise Guide or SAS Studio Experience with large datasets, data warehousing concepts, and ETL workflows. Strong analytical and problem solving abilities. Experience with code testing, validation, and quality control. Solid understanding of data structures, metadata, and data governance. ...

Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data lakes, ETL/ELT pipelines) would be a strong advantage. Working across Data Engineering and Data Governance teams, youll help shift the organisation from reactive issue resolution ...

Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data lakes, ETL/ELT pipelines) would be a strong advantage. Working across Data Engineering and Data Governance teams, youll help shift the organisation from reactive issue resolution ...

following areas: Azure Integration Services, Logic Apps, Function Apps, API Management or Service Bus REST APIs and systems integration SQL Server, data flows, ETL, reporting or database development Power Platform, Power Apps, Power Automate, Power BI or Microsoft Fabric C#/.NET application development Good understanding of application architecture, troubleshooting ...

e.g., ChatGPT, Claude), Databricks GenAI tooling (including embedding models), and modern data structures such as vector databases. Strong expertise in designing end to end ETL solutions using Databricks, including identifying, extracting, and curating datasets for machine learning model development. Strong knowledge of cloud platforms (Azure and AWS) and relevant services. ...

insights. Key Responsibilities Data Pipeline Development & Optimisation Design, develop, and maintain scalable and reliable data pipelines. Build ETL/ELT solutions to ingest, transform, and load data from multiple sources, including APIs, databases, and external data providers. Optimise pipeline performance, scalability, and cost efficiency. Implement data quality controls, validation processes ...

REST APIs , working with JSON payloads, authentication, pagination and basic error handling. Essential Skills Strong SQL fundamentals, including joins, aggregations and subqueries Understanding of ETL/ELT concepts and data pipelines Exposure to Apache Kafka or similar streaming platforms Basic knowledge of AWS services, particularly managed databases Awareness of Docker ...

Engineering function, shaping architectural direction, ensuring engineering excellence, and partnering with Technology, Architecture, and Business teams across the organisation. Tech Stack SQL Oracle Python ETL Background: The bank is migrating from an on-premise Oracle estate to a modern data platform built on cloud and Databricks. This role leads ...

skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Lead Data Engineer, Senior Data Engineer, Data Engineering, Python, SQL, ETL, Data Pipelines, Cloud, AWS, Azure, GCP, Data Architecture, Data Modelling, Data Warehousing, Distributed Systems, Big Data, Agile. ...