51 to 75 of 492 ETL Jobs in the UK

modern lakehouse environment, youll focus on automation, data quality, and performance, helping to drive efficient and scalable data operations. You will: Develop and maintain ETL/ELT pipelines to ingest data from multiple sources into Fabric/GCP Ensure pipelines follow medallion architecture (Bronze/Silver/Gold) standards Monitor ...

pragmatic view of when to build, when to buy and when to leave it alone. Key Responsibilities Design, build and operate production ELT/ETL pipelines that move data reliably at the volume and latency the business needs Model data in the warehouse or lakehouse—dimensional, Data Vault ...

pragmatic view of when to build, when to buy and when to leave it alone. Key Responsibilities Design, build and operate production ELT/ETL pipelines that move data reliably at the volume and latency the business needs Model data in the warehouse or lakehouse—dimensional, Data Vault ...

data architecture, or enterprise architecture roles. Strong expertise with Microsoft Fabric, Azure Databricks, Snowflake, and modern Lakehouse/data platform architectures. Deep experience designing ETL/ELT pipelines, medallion architectures, and semantic models. Strong proficiency in SQL, Python, and cloud-based data engineering tooling. Experience with metadata and governance tools ...

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 ...

e.g. Databricks or Snowflake), ideally within AWS environments. Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines and data transformation. Proven experience in data modelling (end-to-end), including performance optimisation using tools such as DBT and distributed processing frameworks like ...

/PII compliance Partner with analytics, MarTech, and marketing teams to align data solutions with business needs Requirements Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory) Experience with cloud data platforms (e.g., Azure, AWS, or GCP) Proficiency in data modelling ...

/PII compliance Partner with analytics, MarTech, and marketing teams to align data solutions with business needs Requirements Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory) Experience with cloud data platforms (e.g., Azure, AWS, or GCP) Proficiency in data modelling ...

/PII compliance Partner with analytics, MarTech, and marketing teams to align data solutions with business needs Requirements Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory) Experience with cloud data platforms (e.g., Azure, AWS, or GCP) Proficiency in data modelling ...

/PII compliance Partner with analytics, MarTech, and marketing teams to align data solutions with business needs Requirements Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory) Experience with cloud data platforms (e.g., Azure, AWS, or GCP) Proficiency in data modelling ...

Location: London, Watford or Bristol (Hybrid working options available) We are looking for experienced Data Quality Engineers at all levels with strong Data and ETL pipeline testing. With Python and SQL skills to join our team. An understanding of Databricks and Azure ADF is also desirable. The successful candidate will ...

Location: London, Watford or Bristol (Hybrid working options available) We are looking for experienced Data Quality Engineers at all levels with strong Data and ETL pipeline testing. With Python and SQL skills to join our team. An understanding of Databricks and Azure ADF is also desirable. The successful candidate will ...

/Next.js), backend development (Java or Python), and building secure, scalable APIs and distributed applications. Expertise in data engineering & platforms including SQL, data warehousing, ETL/ELT pipelines, data modelling, and integration of data science and analytics. Experience delivering cloud-native solutions, ideally within Google Cloud Platform (GCP), or equivalent ...

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 ...

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 ...

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 ...

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 ...

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. ...

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. ...

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. ...

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. ...

Understanding of data modelling principles, including dimensional modelling and star schema design. Experience gathering, documenting, and translating business requirements into analytical solutions. Knowledge of ETL processes, data integration, and data quality management. Experience creating and maintaining data dictionaries, business glossaries, and data governance documentation. Strong stakeholder management and communication skills. ...

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, you’ll help shift the organisation from reactive issue resolution ...