14 of 14 ETL Jobs in Lancashire

Extensive experience in designing cloud data platforms using Azure, AWS, or exceptional on-premise design expertise. - At least 5 years in data engineering or business intelligence roles. - Proficiency in ETL and data pipeline design, with a technology-agnostic approach. - A solid understanding of data warehouse and data lake principles. - Expert SQL skills and demonstrable data modelling capabilities. About the Company More ❯

in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL (and Python would be a bonus) Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric Knowledge of data lakes and medallion lake house design Working knowledge of Power BI or similar More ❯

enhance team efficiency and data quality. Skills & Experience Strong background in software development and technical leadership. Expertise in C#, .Net, SQL Server, SSIS, and SSAS. Experience in data integration, ETL development, and data warehouse environments. Previous exposure to financial or insurance systems highly desirable. Strong analytical and problem-solving skills with the ability to trace data flow and resolve issues. More ❯

design, delivery, and optimisation Contributing to major national infrastructure and security programmes with real impact What We’re Looking For Active DV clearance (essential) Strong background in data engineering, ETL, and data pipeline development Experience with AWS or Azure cloud technologies Excellent coding skills in Python, SQL, or Scala Understanding of data warehousing, modelling, and streaming technologies Confident working in More ❯

Python, C#, or similar languages. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes) Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of data engineering principles, including ETL, data pipelines, and database management. Working knowledge of ML/AI concepts and technologies, including model deployment and monitoring. Strong problem-solving skills and the ability to work across disciplines More ❯

enhance team efficiency and data quality. Skills & Experience Strong background in software development and technical leadership. Expertise in C#, .Net, SQL Server, SSIS, and SSAS. Experience in data integration, ETL development, and data warehouse environments. Previous exposure to financial or insurance systems highly desirable. Strong analytical and problem-solving skills with the ability to trace data flow and resolve issues. More ❯

data platforms from on-premises data centres to public cloud environments (Azure preferred but not required). Deep knowledge of cloud services for data storage, data cataloguing/lineage, ETL processes, and data pipelines for ingestion, transformation, and delivery. Proficiency in Python and SQL for data processing, along with experience in implementing DevOps practices and an SRE mindset for continuous More ❯

vision, data engineering including transformation and pipelines, data storage and architecture, or data governance. Previous consulting or professional services experience (or consulting-type roles) Understand data architecture concepts like ETL/ELT pipelines, data lakes/warehouses/lakehouses and data mesh and new emerging patterns Capabilities in one or more other specialist areas such as data architecture, data science More ❯

Data Engineer, you will have: Strong experience with SQL (e.g., MS SQL, Oracle). Knowledge of NoSQL technologies (e.g., MongoDB, InfluxDB, Neo4J). Experience with data exchange and processing (ETL, ESB, APIs). Proficiency in Python or similar programming languages. Familiarity with big data frameworks (e.g., Hadoop ecosystem). Desirable Skills: Understanding of NLP (Natural Language Processing) and OCR (Optical More ❯

data across multiple data types - text, images, and time-series (tabular) data. The Role You’ll join a small, collaborative data team in a Full stack Data Science role (ETL process through to building predictive models) working on live analytics, forecasting, and AI/ML projects. Key responsibilities include: Enriching and preparing datasets to uncover actionable insights Building and evaluating More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

data engineer/Data Engineering Manager with some management experience Experience handling large datasets, complex data pipelines, big data processing frameworks and technologies Experience with data modelling, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering skills in Azure Databricks and Microsoft … robust, scalable, and aligned data solutions for delivering high-quality care. The ideal candidate will lead the design and execution of cloud-based based scalable data storage solutions, oversee ETL pipeline development and optimisation, establish and manage data schemas and dictionaries, develop data integration solutions, and lead data cleansing, validation, and enrichment processes. Duties include: Working closely with analysts and … working (2 - 3 days per week in the office). To apply, press apply now or send your CV to Keywords: Head of Data Engineering/Azure Databricks/ETL/Python/data modelling Flexible working - Preston - Blackpool - Manchester - Warrington - Liverpool - Bolton - Blackburn Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a More ❯

ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL More ❯

ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL More ❯