13 of 13 Permanent ETL Jobs in Lancashire

and Business Intelligence Experience in regulated environments Strong analytical and problem-solving skills Excellent communication across all business levels Expertise in Microsoft Data Platform (SQL Server, SSIS, SSAS, SSRS) ETL/ELT pipeline experience Solid understanding of data warehousing and modelling Proficiency in T-SQL and DAX Strong interpersonal and teamwork skills Desirable: Knowledge of financial services Power BI experience More ❯

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 ❯

are looking for experience in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL and Python 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 ❯

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 ❯

blend of the following: Excellent understanding of AWS Data Platforms, with services such as AWS Glue, S3, Lambda, Redshift, etc. Good understanding of management principles for data pipelines and ETL Good Python and PySpark Use of SQL Data platforms If you have experience migrating from an on-premise to cloud based solution this would be a bonus Excellent cross-team More ❯

CI/CD pipelines for data pipelines, services, and applications Manage and optimise AWS services: S3, Lambda, ECS, RDS, IoT Core, Glue,CloudWatch Monitor and troubleshoot data pipelines and ETL workloads for reliability and performance Support secure networking, IAM roles, and data access policies across environments Work closely with data engineers, software developers, and analytics teams Enable continuous improvement of 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 ❯

tasks of working with data sets spanning multiple domains Desirable: Experience of working with MDM tools (Semarchy, TIBCO EBX, Informatica), using datasets from multiple business domains Experience working with ETL tools such as SSIS Knowledge/experience of producing/supporting data products Benefits: As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive More ❯

tasks of working with data sets spanning multiple domains Desirable: Experience of working with MDM tools (Semarchy, TIBCO EBX, Informatica), using datasets from multiple business domains Experience working with ETL tools such as SSIS Knowledge/experience of producing/supporting data products Benefits: As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive More ❯

defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. The Data Engineer will have experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. You will join the business at a period of huge growth. WE ALSO HAVE OPENINGS IN THE FOLLOWING … is a significant growth area for the business with a diverse and growing capability, and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What More ❯

Senior Data Engineer (AWS ETL SQL) Manchester/WFH to £110k Are you a data technologist who enjoys taking ownership? You could be progressing your career in a senior, hands-on Data Engineer role at a technology start-up that is producing a software suite for legal firms that massively reduces para-legal workloads, they have seen huge interest in … 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 … working (x3 days office in Manchester) Impactful role with excellent career progression opportunities as the company scales Apply now to find out more about this Senior Data Engineer (AWS ETL SQL) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people 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 ❯