19 of 19 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 ❯

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 ❯

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 ❯

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 ❯

and ensure technical delivery aligns with business needs Translate business requirements into logical and physical data models that support scalable, high-performance analytics and reporting solutions Build and automate ETL/ELT pipelines using tools such as Azure Data Factory, as well as scripting with Python and PowerShell Use Power BI to create dashboards and data visualisations, focusing on usability More ❯

skills; presentation skills preferred * Proficiency in Collibra APIs, Java, Groovy, and REST integrations. * Strong SQL knowledge and familiarity with common databases (Oracle, PostgreSQL, DB2, BigQuery, etc.). * Experience with ETL/ELT tools (Informatica, DataStage, etc.) and BI platforms (Qlik, Power BI, etc.). * Understanding of metadata standards, data lineage, reference data, and business glossaries. * Experience with cloud platforms (AWS More ❯

multiple projects simultaneously Strong stakeholder engagement and communication skills Essential technical skills: SQL, Power BI, Power Automate Preferred experience: A/B testing, Python, Databricks (especially for manager role), ETL/ELT pipelines, data modelling (marts, dimensional models), Git/version control Experience in pricing analytics and Mastercard Test & Learn platform is a bonus Details Start date: ASAP Duration: Approximately More ❯

staff across the Trust. Educated to degree level, or equivalent qualification in a relevant discipline with experience in a software or information development role. The role requires experience of ETL and BI development using full SQL stack (SSMS, SSRS, SSIS, SSAS), NHS background, and preferably some experience of PowerBI and Microsoft Excel. We operate hybrid working and are based at 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 ❯

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 ❯

/SUMIFS, charts. BI tools. Desirable PowerBI A/B testing. Split principles, test planning, logging. Desirable hard skills Python. Data analysis, pandas, numpy, scipy, statsmodels, seaborn, matplotlib etc. ETL processes. Airflow, Pentaho etc. IT understanding. Client-server processes. API. Back-end and front-end. Parsing. Algorithms and data structures. Management. Sprints, AGILE. Waterfall. Jira etc. Other skills Required fluent 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 ❯

requirements, and create effective reporting solutions. Lead the transition from reporting on production databases to a robust data warehouse as the single source of truth. Design and build new ETL/data pipelines to replace outdated nightly rebuild processes. Oversee the selection of a BI platform and manage the migration of reports, integrating them into internal systems (~300 users) and … analyst to support their development and contributions. ESSENTIAL EXPERIENCE: Business Intelligence Strategist/Lead Data Analyst Advanced, hands-on SQL expertise. Proven experience designing and implementing data warehouses and ETL pipelines. Demonstrated ability to work with non-technical stakeholders to define requirements and deliver actionable insights. Comfortable navigating ambiguous or evolving requirements. Pragmatic approach, prioritizing timely, effective solutions over perfectionism. More ❯

them into clear and actionable insights. Oversee the selection and migration to a new BI platform to ensure reports and dashboards are embedded and easily accessible. Design and implement ETL pipelines that ensure data flows are efficient and accurate. You'll replace old manual processes with automated, streamlined solutions that keeps the business running smoothly. Define data governance practices to … guide Junior team members, providing coaching, feedback, and leadership. Key Skills Strong SQL skills. Comfortable writing complex queries and optimising performance. Proven experience in designing data warehouses and building ETL pipelines. Knowledge of embedded reporting tools and integration. Experience with API-based data integration. Proficiency in modern BI tools like Tableau, Power BI or Looker. Ability to translate business needs More ❯

Your new company Hays Technology are recruiting an EDM/ETL Developer to join a leading organisation within the financial services sector. This is a permanent role based in Leeds, offering the opportunity to work within a high-impact technology division focused on data management and innovation. Your new role In your new role, you'll be part of a … You'll also work closely with stakeholders to communicate technical concepts clearly and effectively. What you'll need to succeed Essential skills and experience Strong SQL, SQL Server and ETL skills Experience with MSBI stack (SSIS, SSRS, SSAS) Familiarity with version control tools (e.g. Git, Azure DevOps) Strong problem-solving and debugging capabilities Ability to communicate effectively with technical and More ❯

Data Engineer To support with ongoing tasks such as dataset submissions overseeing/maintaining the ETL processes. Support some interim developments within Azure, Careflow BI, Business Objects as required. Provide some mentorship to junior engineers as required. You will need Skills in. Acute NHS data experience, preferably with Careflow EPR or CaMIS. Excellent SQL, use of SSMS and ideally SSRS. … Experience of overseeing ETL, managing load pipelines and troubleshooting. Any experience with Palantir would be an advantage. Please send your CV for immediate feedback. More ❯