7 of 7 ETL Jobs in Leeds

Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ELT pipelines and data transformation frameworks Programming capability in Python, Scala or Java for data processing Deep understanding of data warehousing concepts and best practices Experience ...

pipeline and dataset is discoverable, addressable, and secure by design. Data capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced ...

architecture frameworks and methodologies (e.g. TOGAF, Zachman) Broad knowledge of enterprise data technologies, including lakehouse and medallion architectures, legacy data platforms and data engineering (ETL, ELT, CDC) Experience working within large, complex or highly regulated organisations In return, you can expect a flexible working culture, including: Non-contributory career-average ...

automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside ...

business scales. Responsibilities: Design, build, and deliver scalable cloud-based data platforms and data engineering solutions. Develop robust, high-performance data pipelines and modern ETL/ELT frameworks. Contribute to the architecture and technical design of secure, scalable, and resilient data platforms. Build and optimise cloud-native data solutions across … architecture and technical solution design. Strong programming skills in Python, Scala, or Java. Advanced SQL skills, including optimisation and performance tuning. Experience building modern ETL/ELT pipelines and distributed data processing solutions. Strong understanding of data warehousing, data modelling, and cloud-native architectures. Experience working with Infrastructure as Code ...

using Databricks, Apache Spark, and Python. • Develop & Deliver: Create scalable data solutions on AWS leveraging S3, Glue, Lambda, and related services. • Integrate & Automate: Implement ETL processes and data lake/lakehouse architectures that ensure accuracy and reliability. • Collaborate & Advise: Partner with technical and business stakeholders to translate requirements into effective … with Apache Spark, and SQL. • Strong proficiency in Python (PySpark preferred). • Experience with AWS cloud services including S3, Glue, Lambda, IAM. • Familiarity with ETL design, data modelling, and data lake/lakehouse concepts. • Understanding of data governance and compliance frameworks. • Experience in the healthcare sector or knowledge ...

Develop and implement data migration strategies for SAP projects, ensuring data integrity and quality in line with Global Master Data Governance rules. Oversee the Extract, Transform, Load (ETL) processes, ensuring smooth data transfer from legacy systems to SAP S/4HANA. Ensure data quality and perform data cleansing activities … testing, and end-user training. Extensive experience in implementing SAP solutions, including system configuration, integration, and testing. Proficiency in SAP Data Services and other ETL tools like Syniti. Hands-on experience with SAP S/4HANA data migration and implementation projects. Experience with SAP Integration Suite and other integration tools. ...