8 of 8 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 ❯

lakehouse. Develop semantic models and dimensional structures optimised for BI, dashboarding, and machine learning. Ensure documentation, governance, and data consistency across domains. Collaborate with data engineers to support robust ETL/ELT pipelines and maintain end-to-end data lineage. Deploy analytics engineering solutions using dbt, SQL transformations, and CI/CD best practice. Partner with analysts and data scientists 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 ❯

management controls. Experience & Technical Skills Proven hands-on experience as a Data Engineer or in a similar data-centric role. Strong proficiency in SQL and Python. Solid understanding of ETL/ELT pipelines, data modelling, and data warehousing principles. Experience working with cloud platforms such as AWS, Azure, or GCP. Exposure to modern data tools such as Snowflake, Databricks, or More ❯

Lead initiatives to improve data quality , including profiling, cleansing, monitoring, and remediation strategies. Provide architectural guidance on MDM platform selection , cloud vs. on-prem deployment , and integration patterns (API, ETL, messaging). Support metadata management , lineage tracking , and compliance initiatives. Excellent communication and stakeholder management skills. Experience in multi-domain MDM (Customer, Supplier, Location, etc.) is a strong plus. Knowledge 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 ❯

to help define migration scope, strategy, and approach. Collaborate with functional consultants and business stakeholders to capture data mapping requirements (including transformation rules). Develop, configure, execute, and optimise Extract-Transform-Load scripts . Support migration planning activities. Familiarity with Informatica or Pentaho would be advantageous. Execute migrations, carry out validation checks, and prepare status reports . Communicate data cleansing More ❯

ERP, and CAD data to define scope and migration strategy. Collaborate with business and functional teams to capture and document data mappings and transformation rules . Configure and optimise ETL (Extract-Transform-Load) scripts. Support test runs, go-live cutovers, and post-migration stabilisation. Conduct data profiling and cleansing, advising stakeholders on improvements. Produce clear technical documentation and status reporting … Teamcenter deployment and data migration. Proven track record leading metadata, CAD, and document migrations . Strong understanding of PLMXML and IPS Data Upload utilities . Hands-on experience with ETL tools (Informatica or Pentaho preferred). Ability to script or code using Teamcenter ITK libraries (advantageous). Excellent communication, problem-solving, and stakeholder engagement skills. Willingness to work on-site More ❯