14 of 14 Permanent ETL Jobs in Lancashire

organization to address their data needs, craft agile solutions, and continuously improve the data environment. What will you be doing? Design and implement efficient ETL processes for data extraction, transformation, and loading. Build real-time data processing pipelines using platforms like Apache Kafka or cloud-native tools. Optimize batch processing More ❯

Design: Architect and implement robust designs, ensuring optimal performance, scalability, and security Translate high-level solution designs into detailed technical specifications, including data models, ETL processes, and database schemas Establish and enforce data modelling best practices, promoting data integrity and consistency across all platforms ETL Development & Optimization: Develop and optimize … complex ETL pipelines for diverse data sources (on-premise and cloud-based), utilizing best practices for data extraction, transformation, and loading Implement data quality checks and validation processes within ETL pipelines, ensuring data accuracy and reliability Optimize ETL performance for speed and efficiency, addressing bottlenecks and improving data processing times … information to non-technical stakeholders, and ensuring alignment with business objectives The Person Essential: Minimum 5+ years of experience in designing and implementing data ETL processes and design Expert-level proficiency in T-SQL, SSIS, and the Microsoft data stack (SQL Server, Azure SQL Database) Proven proficiency in Azure Data More ❯

Solid understanding of data modelling principles for analytics - including partitioning, denormalisation, and file formats (e.g., Parquet, ORC). Experience building and maintaining production-grade ETL pipelines with an emphasis on performance, quality, and maintainability. AWS certification desirable - Data Engineer or similar. More ❯

Tools Proficiency: Expertise in Power BI, Tableau or similar visualisation tools. SQL and Databases: Strong knowledge of SQL, data warehousing concepts, and database management. ETL Processes: Experience with Extract, Transform, Load (ETL) processes (e.g. SSIS, AWS Glue, DBT). Data Modelling: Ability to create and manage data models. Data Analysis More ❯

Application Gateways and API Management services. SQL Services - MI, PaaS, IaaS, ADF, SSIS, etc. Storage services - files and blob. Data Lake Services, PowerBI and ETL technologies. More ❯

for UK security clearance at Developed Vetting level. Experience should include: Ingesting, transforming, and integrating data from various sources. Distributed computing, streaming, batch processing. ETL processes, data pipelines, automation. Optimizing data systems for performance and security. Data governance, metadata, data quality, and lineage. We seek candidates with both technical and More ❯

Risk and Claims) using data ingestion/analysis tools such as Intrali, Quantemplate or Matillion. The project centres on the extraction, transformation and loading (ETL) of data from various sources into data warehouses and data lakes. This is the perfect role for an aspiring Data Architect in the Insurance Industry. More ❯

over IP communication using WebRTC technologies. The other stuff we are looking for We'd also love you to bring: Experience of data engineering (ETL) using sources such as conversational analytics, agent and contact events. Knowledge of data security best practices, including encryption, access control, and key management. An understanding More ❯

in the Greater Manchester office What they're looking for: Strong experience with Qlik Sense , QlikView , and SQL Proven expertise in developing and maintaining ETL processes A proactive, analytical mindset with a focus on data accuracy and usability Strong understanding of data architecture , governance , and security best practices Excellent communication More ❯

What you'll do: Develop and maintain automated data processing pipelines using Google Cloud: Design, build, and maintain data pipelines to support data ingestion, ETL, and storage Build and maintain automated data pipelines to monitor data quality and troubleshoot issues Implement and maintain databases and data storage solutions: Stay up … relational databases such as MySQL, PostgreSQL, or Oracle. Experience with big data technologies such as Hadoop, Spark, or Hive. Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow. Proficiency in at least one programming language such as Python, Java, or Scala. Strong analytical More ❯

Job Description: We are seeking a candidate with good SSIS skills and experience in developing automated/zero-touch ETL processes. Refer a friend for a £1000 bonus, which is unlimited. If you are starting your career and looking for an opportunity to grow, our company offers a welcoming and More ❯

skills, knowledge and experience will you need? A good understanding of modern data architectures e.g. Data Warehouses and Data Lakehouse, and an understanding of ETL/ELT processes. Experience of leading technical and non-technical stakeholder engagement to represent the user in all product and prioritisation decision making. Experience of More ❯

skills, knowledge and experience will you need? A good understanding of modern data architectures e.g. Data Warehouses and Data Lakehouse, and an understanding of ETL/ELT processes. Experience of leading technical and non-technical stakeholder engagement to represent the user in all product and prioritisation decision making. Experience of More ❯

planning migrations, establishing client relationships, and understanding industry-specific requirements. You should have experience in designing and implementing SAP BW solutions, developing data models, ETL processes, security, documentation, performance optimization, troubleshooting, and collaboration with technical teams. Certification in relevant technologies and experience with SAP data tools are preferred. Connect to More ❯