1 to 25 of 42 ETL Jobs in West Yorkshire

reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to work in a fast-paced environment. Excellent communication and collaboration skills. More ❯

reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to work in a fast-paced environment. Excellent communication and collaboration skills. More ❯

reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to work in a fast-paced environment. Excellent communication and collaboration skills. More ❯

Proficiency in Power BI for creating reports and dashboards Strong Python skills, including experience with data libraries like Pandas and NumPy Solid background in ETL processes, data pipeline design, and data warehousing Detail-oriented with excellent problem-solving and communication skills Nice to Have: Knowledge of data governance, quality, and More ❯

Proficiency in Power BI for creating reports and dashboards Strong Python skills, including experience with data libraries like Pandas and NumPy Solid background in ETL processes, data pipeline design, and data warehousing Detail-oriented with excellent problem-solving and communication skills Nice to Have: Knowledge of data governance, quality, and More ❯

Effective communication and interpersonal skills. Ability to work independently and efficiently as part of a team, delivering in a fast-paced environment Experience with ETL processes and tools including SSIS. Knowledge of programming languages such as Python or R. Familiarity with financial software and ERP systems. Advanced Excel skills. Qualifications More ❯

Spoke architecture patterns. Experience and detailed understanding of AWS and/or Azure data provision through a loosely coupled cloud stack including Data Integration (ETL/ELT) eg Spark and/or Informatica, Data Quality, Data Catalogue, data storage to provide multi-cloud analytical and insight data for our critical More ❯

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 More ❯

SQL, Javascript) Experience of Azure, AWS or GCP cloud platforms and Data Lake/Warehousing Platforms such as Snowflake, Iceberg etc Experience of various ETL and Streaming Tools (fiveTran, Flink, Spark) Experience of a variety of data mining techniques (APIs, GraphQL, Website Scraping) Ability to translate Data into meaningful insights More ❯

to modernise and optimise test processes across the data and analytics function. Lead the development of test automation frameworks that support data ingestion, transformation (ETL/ELT), and analytical models. Work hands-on with tools like Snowflake, dbt, Fivetran , and Tableau , alongside SQL and Python. Design and implement scalable, agnostic More ❯

to modernise and optimise test processes across the data and analytics function. Lead the development of test automation frameworks that support data ingestion, transformation (ETL/ELT), and analytical models. Work hands-on with tools like Snowflake, dbt, Fivetran , and Tableau , alongside SQL and Python. Design and implement scalable, agnostic More ❯

to modernise and optimise test processes across the data and analytics function. Lead the development of test automation frameworks that support data ingestion, transformation (ETL/ELT), and analytical models. Work hands-on with tools like Snowflake, dbt, Fivetran , and Tableau , alongside SQL and Python. Design and implement scalable, agnostic More ❯

to modernise and optimise test processes across the data and analytics function. Lead the development of test automation frameworks that support data ingestion, transformation (ETL/ELT), and analytical models. Work hands-on with tools like Snowflake, dbt, Fivetran , and Tableau , alongside SQL and Python. Design and implement scalable, agnostic More ❯

relevant tools A track record of building, managing, and optimizing interactive dashboards and visualizations that drive business insights Knowledge of SQL, data warehousing, and ETL processes for data integration and preparation Understanding of commercial business functions, ideally within the pharmaceutical or healthcare industry, to connect data insights with business objectives More ❯

Lead Data Engineer Experience with Azure, AWS, or GCP cloud platforms and Data Lake/Warehousing Platforms such as Snowflake, Iceberg, etc. Experience with ETL and Streaming Tools (FiveTran, Flink, Spark). Experience with data mining techniques (APIs, GraphQL, Website Scraping). Ability to translate data into meaningful insights. Excellent More ❯

relevant tools? A track record of building, managing, and optimizing interactive dashboards and visualizations that drive business insights? Knowledge of SQL, data warehousing, and ETL processes for data integration and preparation? Understanding of commercial business functions, ideally within the pharmaceutical or healthcare industry, to connect data insights with business objectives More ❯

business insight. In your first year, you'll be trained to: Write and optimise SQL queries to transform and manage data Build and maintain ETL pipelines and data models Create impactful dashboards and reports to solve real-world problems Understand how law firms operate and how to tailor our platform More ❯

services (e.g., Azure SQL, Azure Data Lake, Azure Databricks). Strong understanding of data architecture principles and best practices. Proficient in data integration and ETL processes. Excellent problem-solving skills and ability to work independently. Strong communication and collaboration skills. An understanding of and/or experience in Infrastructure as More ❯

and deliver customer-driven change requests, balancing efficiency with high-quality outcomes. Data Engineering & BI Development - Design, build, and optimise SQL-based solutions, from ETL pipelines to performance-tuned reports. Customer Collaboration - Maintain proactive communication with customers, ensuring transparency, accuracy, and value in every solution. Process Improvement - Develop best practices More ❯

external stakeholders. You will be part of the Business Intelligence & Data team, supporting the BI Manager to take forward development projects whilst maintain and developing Extract, Transform and Load (ETL) pipelines from a range of business systems into the BI environment. You will also be maintaining and developing SQL based … reporting solutions Solid knowledge of MS SQL Server 2012-2022 data warehouse development and querying Experience using MS SQL Integration Services to develop complex ETL and automation solutions Expert knowledge of SQL Server Management Studio and Data Tools Knowledge of supporting programming and scripting languages such as C#, XML, PowerShell More ❯

and ensure alignment on the transformation roadmap. Key Responsibilities: Analyse and document the current state of the SQL Server data warehouse , including data models, ETL processes, and reporting layers. Define the TO-BE state for a cloud-native data warehouse solution on AWS (e.g. Redshift, S3, Glue, etc.). Perform More ❯

and ensure alignment on the transformation roadmap. Key Responsibilities: Analyse and document the current state of the SQL Server data warehouse , including data models, ETL processes, and reporting layers. Define the TO-BE state for a cloud-native data warehouse solution on AWS (e.g. Redshift, S3, Glue, etc.). Perform More ❯

and ensure alignment on the transformation roadmap. Key Responsibilities: Analyse and document the current state of the SQL Server data warehouse , including data models, ETL processes, and reporting layers. Define the TO-BE state for a cloud-native data warehouse solution on AWS (e.g. Redshift, S3, Glue, etc.). Perform More ❯

solution is compliant to the clients Information policies and standards. Lead Architecture Committee governance approvals for artefacts. Mandatory Skills :- GCP, Data Products, Data Mesh, ETL, EDW, Composer, Big Query, DataProc, DBT, Spark, Hive, Kafka, Pub-Sub, Jira, GCP BigQuery, GCP Dataflow, BigTable, Python, Kafka, Cloud DataProc, Cloud Data Flow, Cloud More ❯

solution is compliant to the clients Information policies and standards. Lead Architecture Committee governance approvals for artefacts. Mandatory Skills :- GCP, Data Products, Data Mesh, ETL, EDW, Composer, Big Query, DataProc, DBT, Spark, Hive, Kafka, Pub-Sub, Jira, GCP BigQuery, GCP Dataflow, BigTable, Python, Kafka, Cloud DataProc, Cloud Data Flow, Cloud More ❯