8 of 8 ETL Jobs in Avon

modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using 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 ...

deliver and maintain robust data solutions. Support data modelling and warehousing activities using best practices in schema design and data governance. Contribute to ETL/ELT development, testing, and automation using tools such as Python, SQL, Airflow, or Azure Data Factory. Collaborate closely with analysts, scientists, and architects to ensure … 5+ years UK residency . Desirable Skills & Exposure Familiarity with data lakes, warehouses, or streaming architectures (e.g. Databricks, Spark, Kafka). Experience with ETL tools, orchestration frameworks, or automation pipelines. Understanding of version control and CI/CD (e.g. GitHub, Azure DevOps). Awareness of data governance, lineage, and cataloguing ...

modern AWS stack, designing scalable pipelines and delivering reliable data to teams across the organisation. In this role, you will develop and maintain ETL and ELT workflows using Apache Spark, Python and AWS Glue, while architecting solutions that make extensive use of AWS services including S3, Redshift, EMR, Lambda, Kinesis ...

Google Analytics (GA4) and marketing analytics, including CRM data and campaign performance Understanding of data governance, GDPR, and data quality best practices Familiarity with ETL tools like FiveTran is a big bonus! What youll get in return for your experience A salary of up to £40,000 per annum, flexible ...

environment.You’ll work closely with client services, strategy and digital colleagues to build and maintain data pipelines and architecture, including data dictionaries, databases, and ETL processes using tools such as Adverity and BigQuery. You’ll also help design and QA bespoke dashboards, maintain data integrity, and ensure consistent, clean, and ...

hybrid working model basis. The Data Engineer is responsible for Supporting the Data Engineering Manager with the design and implementation of ELT/ETL, data movement and data model design and implementation to support the needs of the business, ensuring it: Is trusted and fit for purpose Is secure, scalable … single analytical view of our data and information Implements agreed and defined metrics Delivers business value by supporting action-oriented insights Responsibilities Delivery of ETL/ELT processes, data models and data marts from design to implementation Documentation of solutions implemented Documentation of data lineage Responsible for performance, stability, and ...

and platforms that enable analytics, reporting and operational data products across government. Work with data architects, analysts and stakeholders to translate requirements into robust ETL/streaming solutions, ensure data quality and compliance with standards, and drive automation and reuse to support evidence-based policy and service delivery. Your responsibilities … will include, but aren’t limited to: Design, build and operate ETL and streaming pipelines for large, varied datasets. Implement and enforce data modelling, lineage and quality standards. Optimise storage, processing and query performance on cloud/on-prem platforms. Integrate data sources via APIs, batch and real-time ingestion ...

extension Hours: Full-time position Responsibilities include: Develop, optimise, and debug Databricks notebooks, Delta Lake workflows, and Genie-bot automations Design, maintain, and enhance ETL pipelines , ensuring reliability and performance Validate, transform, and orchestrate data using Python and SQL within the Lakehouse environment Manage data ingestion and scheduling processes … handover to internal teams Requirements: Strong hands-on experience with Databricks , including notebooks, Delta Lake, and Genie bots Proven background in designing and maintaining ETL pipelines , including debugging and optimisation Advanced Python skills for transformation, automation, and pipeline development Solid SQL proficiency for querying, validation, and performance tuning Experience using ...