1 to 25 of 30 Permanent ETL Jobs in Yorkshire

work as part of a collaborative team to solve problems and assist other colleagues. - Ability to learn new technologies, programs and procedures. Technical Essentials: - Expertise across data warehouse and ETL/ELT development in AWS preferred with experience in the following: - Strong experience in some of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation More ❯

We are seeking a Data Engineer with strong experience in SQL, data modelling, and ETL development, ideally complemented by exposure to cloud data platforms and business intelligence tools. The ideal candidate will have hands-on experience designing and maintaining data pipelines, ensuring data integrity, and supporting analytical initiatives across the business. This role is perfect for someone with a few … their technical expertise in data engineering while contributing to impactful projects within a collaborative IT environment. About You Key Responsibilities: Design, develop, and maintain ETL pipelines to extract, transform, and load data from multiple systems into centralised data repositories. Build and optimise SQL queries, stored procedures, and views to support reporting and analytics. Collaborate with software engineers, analysts, and business … to ensure scalable and secure data operations. Preferred Skills Strong proficiency in SQL (T-SQL or PL/SQL) – query optimisation, joins, indexing, stored procedures, and triggers. Experience with ETL tools such as SSIS, Azure Data Factory, or similar. Familiarity with relational databases (e.g., MS SQL Server, MySQL, PostgreSQL). Exposure to data warehousing concepts and dimensional modelling (e.g., star More ❯

You'll Be Doing Delivering full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and More ❯

You'll Be Doing Delivering full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and More ❯

scalable data pipelines and infrastructure in AWS. Strong expertise with AWS services, including Glue, Redshift, Data Catalog, and large-scale data storage solutions such as data lakes. Proficiency in ETL/ELT tools (e.g. Apache Spark, Airflow, dbt). Skilled in data processing languages such as Python, Java, and SQL. Strong knowledge of data warehousing, data lakes, and data lakehouse 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 ❯

Data Engineer (Talend/Snowflake)Goole – Hybrid (1-2 days in the office)PermanentCompetitive salary Elevation IT are looking for a skilled Data Engineer with proven expertise in ETL, data warehousing, and modern cloud platforms. In this role, you’ll design and optimise data pipelines that power decision-making across the business. You’ll work hands-on with Talend, Snowflake … SQL, and Python to build scalable solutions, ensure data quality and enable seamless integration across systems. Duties & Responsibilities: Extract, transform, and load (ETL) data from diverse sources, including ERP and cloud-based systems Automate processes using scripting and integration tool Ensure data quality, integrity, and consistency throughout projects Collaborate with business users, IT teams, and project stakeholders to understand data … structures and requirements Provide technical leadership and mentoring to fellow data engineers Troubleshoot data issues and optimize pipeline performance Document ETL processes and develop best practices for scalability and reuse Key Skills & Experience Proven experience in data engineering projects and data warehousing Strong expertise with Talend and Snowflake Solid knowledge of ETL tools and data transformation techniques (JSON, XML) Proficiency More ❯

Engineer, Data Engineer or BI Data Lead in a modern cloud environment Strong hands-on experience with Azure Data Factory, Data Lakes and Data Warehousing Knowledge of Power BI, ETL processes and integrating enterprise data sources (SAP, Salesforce, production systems) Excellent communication skills - able to engage across departments and translate data requirements into solutions Competent in SQL for querying, validation More ❯

Engineer, Data Engineer or BI Data Lead in a modern cloud environment Strong hands-on experience with Azure Data Factory, Data Lakes and Data Warehousing Knowledge of Power BI, ETL processes and integrating enterprise data sources (SAP, Salesforce, production systems) Excellent communication skills - able to engage across departments and translate data requirements into solutions Competent in SQL for querying, validation More ❯

Engineer, Data Engineer or BI Data Lead in a modern cloud environment Strong hands-on experience with Azure Data Factory, Data Lakes and Data Warehousing Knowledge of Power BI, ETL processes and integrating enterprise data sources (SAP, Salesforce, production systems) Excellent communication skills - able to engage across departments and translate data requirements into solutions Competent in SQL for querying, validation More ❯

Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and ETL/ELT development in AWS preferred Experience is building a Data Lake as well as building CI/CD data pipelines Excellent communication and problem-solving skills. What's on More ❯

ll Bring Experience: Proven hands-on experience as a Data Engineer or in a similar data-focused role. Technical Skills: Proficiency in SQL and Python . Strong grasp of ETL/ELT pipelines , data modeling , and data warehousing . Experience with cloud platforms (AWS, Azure, GCP) and tools like Snowflake, Databricks, or BigQuery . Familiarity with streaming technologies (Kafka, Spark More ❯

intelligent content governance, and personalized customer engagement. Drive seamless integration between CCM, ERP, CRM, ECM, and Power Platform ecosystems to enable a unified omnichannel experience. Oversee data lake architecture, ETL pipelines, and automation frameworks to accelerate digital transformation across centralized modules. Provide technical leadership and mentorship to architects, developers, and DevOps engineers; conduct architecture reviews, ensure HLD/LLD/ More ❯

Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild). Knowledge of infrastructure as code, performance tuning, and data migration. Exposure to DBT, Docker, or Microsoft BI stack is a More ❯

Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild). Knowledge of infrastructure as code, performance tuning, and data migration. Exposure to DBT, Docker, or Microsoft BI stack is a More ❯

Experience building data lakes and modern data platforms from the ground up. Proficiency with Python, SQL, and orchestration tools such as Airflow or dbt. Strong understanding of data modelling, ETL/ELT processes, and distributed systems. Knowledge of data security, governance, and compliance best practices. Excellent communication skills, with the ability to work collaboratively and influence stakeholders. A growth mindset More ❯

and Performant SQL. Experience analysing complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of ETL Experience of data warehousing and data lake solutions. Experience working in an Agile environment. This is an excellent opportunity to join a company as it continues to grow and expand More ❯

errors, debugging, and issue resolution Integrate new datasets into the data warehouse Create and maintain SQL data feeds across internal, partner, and supplier systems Design, build, and maintain robust ETL/ELT pipelines Preferably support app development, integration, and data reporting/injection using .Net (C#/VB/Java/REST) Candidate Specification: We're looking for someone with More ❯

setting standards for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science More ❯

with SQL and NoSQL databases (e.g., Postgres, DynamoDB). Experience working with AI/ML models and APIs (LLMs, embeddings, vector search). Strong understanding of data engineering practices (ETL, schema design, performance tuning). Proficiency in cloud environments (AWS preferred) and containerised deployments (Docker, ECS). Strong grasp of secure coding practices and handling of sensitive data. Excellent communication More ❯

looking for: Proven experience in data engineering at a senior level Strong hands-on knowledge of Databricks Experience with Azure or AWS cloud platforms Expertise in data warehousing and ETL processes Ability to work both independently and as part of a collaborative team Why join us? £65,000 salary Flexible hybrid working (2 days a week in our Leeds office More ❯

engineers,andanalyststodeliverintegratedsolutions. Ensuringconsistencyacrosstransactionalandanalyticaldatasystems. Contributingtothedevelopmentof datalakes,datawarehouses,anddistributedstorageenvironments . Mentoringjuniorengineers,embeddingbestpracticeacrosstheteam. Whatwerelookingfor 5+yearsexperiencein DataEngineering ,withstrongexpertisein Azuredataservicesand/orMicrosoftFabric . Proventrackrecorddesigningscalableplatformsandmanaginglargecloud-basedecosystems. Proficiencyin Python,PySpark,SQL,NoSQL andframeworkssuchas Databricks . Solidexperiencewith ETL/ELTdesign,orchestrationandoptimisation . Knowledgeof datagovernance,privacyregulations,andsecuritybestpractices . Strongexperienceintegratingrelational,NoSQL,andstreamingdatasources. CompetenceinCI/CDpipelinesandGit-basedworkflows. Experiencewithmodernarchitecturesincluding datamesh,event-drivenprocessing,andstreamingplatforms(Kafka/EventHub) . Excellentstakeholdercommunicationskills. Apassionformentoringandembeddingengineeringbestpractice. Whatyoullget Upto More ❯

throughout delivery. As a Data Engineer, you will: Digest data requirements, gather and analyse large scale structured data and validates by profiling in a data environment Design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and clean data Implement data quality procedures on data sources and preparation to visualize data and synthesize insights for business value Support More ❯

data and validate by profiling in a data environment Understand data structures and data model (dimensional & relational) concepts like Star schema or Fact & Dimension tables, to design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and cleanse data Understand and produce ‘Source to Target mapping’ (STTM) documents, containing data structures, business & data transformation logics Liaise with data More ❯

reduce manual intervention. Implement data masking, encryption, and other security measures as necessary to protect sensitive data during integration. Skills & Experience Essential : 3+ years of experience in data integration, ETL/ELT development, or data management. Strong proficiency with ETL/ELT tools and technologies (e.g., Talend, Informatica, Microsoft SSIS, Apache Nifi, etc.). Knowledge of scripting languages (e.g., Python More ❯