1 to 25 of 359 Permanent ETL Jobs in England

with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data warehousing concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity ...

Lake, lakehouse architecture, and medallion architecture. Excellent knowledge of data modelling, dimensional modelling, canonical data models, and enterprise data models. Strong experience in designing ETL/ELT data pipelines. Good understanding of PySpark, Spark SQL, Python, and SQL. Strong knowledge of data warehouse, data lake, data mart, and semantic layer ...

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 ...

maximum business valueDrive best practice in data governance, cataloguing, lineage, and standards across the organisationPromote data re-use and reduce duplication across systemsOversee ETL processes, data integration, and BI architectureManage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiativesWork closely with stakeholders across ...

value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely ...

deliver robust data solutions that support operational and strategic objectives. This role requires active Security Check (SC) clearance Key Responsibilities Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data sources. Build scalable data ingestion and transformation frameworks using cloud-native and on-premise technologies. Develop and ...

stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also ...

event time, state, backpressure).\ N\n\nUnderstanding of software engineering best practices: testing, design patterns, CI/CD, Git.\ N\n\nExperience building ETL/ELT or streaming data pipelines.\ N\n\nExposureto microservices and distributed system concepts.\ N\n\nExperience working with cloud platforms, ideally AWS, but Azure ...

and collaboration, making it ideal for someone who enjoys both developing high-quality data solutions and supporting others. Key Responsibilities: Build and maintain scalable ETL/ELT pipelines using Snowflake, dbt, and SQL Transform complex data into structured, analytics-ready datasets Develop and optimise Snowflake components (tasks, streams, stages, dynamic ...

team environment Key experience For both roles: Strong SQL/T-SQL skills, including complex queries Hands-on Microsoft Fabric experience (Lakehouses, Pipelines, Notebooks) ETL/ELT and data engineering experience Strong problem-solving and analytical skills Excellent stakeholder communication skills For the senior role (up to £75K), additionally: Proven ...

data is accessible, reliable and delivered efficiently across the organisation. Key Responsibilities Design, build and maintain scalable and reliable data pipelines. Develop and support ETL/ELT processes for ingesting and transforming data from multiple sources. Enhance and maintain cloud-based data infrastructure within AWS. Monitor, troubleshoot and optimise data ...

transition from legacy platforms where applicable Data Engineering & Integration Providing technical leadership across data engineering practices, including: Batch and streaming data pipelines ELT/ETL frameworks CI/CD for data platforms Architecting robust integrations from internal and third‐party systems Defining data quality, validation, and monitoring standards Governance, Security ...

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

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 ...

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 ...

high‐performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. \n Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. \n Build scalable, distributed data processing solutions using modern ...

regulated settings.Engineer high‐performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems.Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use.Build scalable, distributed data processing solutions using modern big data ...

Engineer high performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. Build scalable, distributed data processing solutions using modern ...

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 ...

cloud data warehouse, data lake or data platform) to enable digital transformation \n\n \n Working with clients on data warehousing, building operational ETL/ELT data pipelines across a number of sources, and constructing relational and dimensional data models \n\n \n Performing maturity assessments across clients’ data capabilities ...

cloud architectures, (e.g. a cloud data warehouse, data lake or data platform) to enable digital transformation Working with clients on data warehousing, building operational ETL/ELT data pipelines across a number of sources, and constructing relational and dimensional data models Performing maturity assessments across clients' data capabilities and recommending ...

cloud architectures, (e.g. a cloud data warehouse, data lake or data platform) to enable digital transformation Working with clients on data warehousing, building operational ETL/ELT data pipelines across a number of sources, and constructing relational and dimensional data models Performing maturity assessments across clients data capabilities and recommending ...

and dashboards. ·Foundational knowledge of Python for data manipulation, automation, or analysis. ·Experience with cloud data environments such as Azure or AWS. ·Familiarity with ETL tools, or similar data‐integration technologies. ·Understanding of data modelling concepts. ·Familiarity with legal industry data and metrics. Equal Opportunities Our approach to our people ...

Snowflake,BigQuery, Redshift or similar.\ N● 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 theperformance of a product to reach the company's commercial goals.● Hands-on experience with ...