1 to 25 of 59 ETL Jobs in the North West

Extensive experience in designing cloud data platforms using Azure, AWS, or exceptional on-premise design expertise. - At least 5 years in data engineering or business intelligence roles. - Proficiency in ETL and data pipeline design, with a technology-agnostic approach. - A solid understanding of data warehouse and data lake principles. - Expert SQL skills and demonstrable data modelling capabilities. About the Company More ❯

in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL (and Python would be a bonus) Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric Knowledge of data lakes and medallion lake house design Working knowledge of Power BI or similar More ❯

developers to encourage best practice adoption. Skills & Experience Minimum of 89 years relevant development experience. Strong technical expertise with: MS SQL Server (T-SQL, stored procedures, functions) SSIS/ETL tools (Informatica preferred) Web APIs & SOA .NET Framework, .NET Core, ASP.NET, MVC Additional beneficial skills: SSAS/SSRS Tableau or Power BI C# development SharePoint Data modelling & real-time data More ❯

to encourage best practice adoption. Skills & Experience Minimum of 8–9 years’ relevant development experience. Strong technical expertise with: MS SQL Server (T-SQL, stored procedures, functions) SSIS/ETL tools (Informatica preferred) Web APIs & SOA .NET Framework, .NET Core, ASP.NET, MVC ✅ Additional beneficial skills: SSAS/SSRS Tableau or Power BI C# development SharePoint Data modelling & real-time data More ❯

to encourage best practice adoption. Skills & Experience Minimum of 8–9 years’ relevant development experience. Strong technical expertise with: MS SQL Server (T-SQL, stored procedures, functions) SSIS/ETL tools (Informatica preferred) Web APIs & SOA .NET Framework, .NET Core, ASP.NET, MVC ✅ Additional beneficial skills: SSAS/SSRS Tableau or Power BI C# development SharePoint Data modelling & real-time data More ❯

to encourage best practice adoption. Skills & Experience Minimum of 8–9 years’ relevant development experience. Strong technical expertise with: MS SQL Server (T-SQL, stored procedures, functions) SSIS/ETL tools (Informatica preferred) Web APIs & SOA .NET Framework, .NET Core, ASP.NET, MVC ✅ Additional beneficial skills: SSAS/SSRS Tableau or Power BI C# development SharePoint Data modelling & real-time data More ❯

Data Engineer to join our IT department, focusing on Business Intelligence, you will play a crucial role in designing and building infrastructure to support the extraction, transformation, and loading (ETL) of data from various sources. This is an exciting opportunity to work with cutting-edge analytical tools and ensure the stability and performance of our data pipelines. Candidates should have More ❯

office. What will you be doing? Deploy and manage ML models across dev to production at scale Build and maintain cloud-based data science environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python More ❯

office. What will you be doing? Deploy and manage ML models across dev to production at scale Build and maintain cloud-based data science environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python More ❯

dbt, AWS Glue, AWS Lake Formation, Apache Spark, Amazon Redshift) Strong understanding of data modeling, ELT design patterns, data governance, and security best practices Bonus . Experience with reverse ETL tools (e.g., Census) Knowledge of data privacy regulations (GDPR, ISO 27001) Experience supporting customer-facing analytics features in a multi-tenant SaaS environment Experience building data pipelines for AI and More ❯

enhance team efficiency and data quality. Skills & Experience Strong background in software development and technical leadership. Expertise in C#, .Net, SQL Server, SSIS, and SSAS. Experience in data integration, ETL development, and data warehouse environments. Previous exposure to financial or insurance systems highly desirable. Strong analytical and problem-solving skills with the ability to trace data flow and resolve issues. More ❯

design, delivery, and optimisation Contributing to major national infrastructure and security programmes with real impact What We’re Looking For Active DV clearance (essential) Strong background in data engineering, ETL, and data pipeline development Experience with AWS or Azure cloud technologies Excellent coding skills in Python, SQL, or Scala Understanding of data warehousing, modelling, and streaming technologies Confident working in More ❯

Python, C#, or similar languages. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes) Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of data engineering principles, including ETL, data pipelines, and database management. Working knowledge of ML/AI concepts and technologies, including model deployment and monitoring. Strong problem-solving skills and the ability to work across disciplines More ❯

pipelines using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. Data Modelling using Kimball, 3NF or Dimensional methodologies. Utilize SQL and Python to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. Design and implement metadata driven pipelines to automate data processing tasks. Collaborate with cross-functional teams More ❯

enhance team efficiency and data quality. Skills & Experience Strong background in software development and technical leadership. Expertise in C#, .Net, SQL Server, SSIS, and SSAS. Experience in data integration, ETL development, and data warehouse environments. Previous exposure to financial or insurance systems highly desirable. Strong analytical and problem-solving skills with the ability to trace data flow and resolve issues. More ❯

including interrogation of databases • Proficiency in T-SQL and working knowledge of SQL Server Management Studio • Experience with data governance, data quality, and metadata documentation • Understanding of relational databases, ETL/ELT processes, and APIs • Familiarity with GDPR and data protection regulations • A degree in a STEM subject or equivalent, plus relevant professional certifications • Experience working within the Housing or More ❯

including interrogation of databases • Proficiency in T-SQL and working knowledge of SQL Server Management Studio • Experience with data governance, data quality, and metadata documentation • Understanding of relational databases, ETL/ELT processes, and APIs • Familiarity with GDPR and data protection regulations • A degree in a STEM subject or equivalent, plus relevant professional certifications • Experience working within the Housing or More ❯

including interrogation of databases • Proficiency in T-SQL and working knowledge of SQL Server Management Studio • Experience with data governance, data quality, and metadata documentation • Understanding of relational databases, ETL/ELT processes, and APIs • Familiarity with GDPR and data protection regulations • A degree in a STEM subject or equivalent, plus relevant professional certifications • Experience working within the Housing or More ❯

very down to earth and supportive team and business, and would suit someone with 2-4 years of experience. Requirements: SQL and/or Python Azure, AWS or GCP ETL and orchestration Knowledge of data warehousing solutions An understanding of data governance Please apply for full details. No sponsorship is on offer unfortunately. More ❯

very down to earth and supportive team and business, and would suit someone with 2-4 years of experience. Requirements: SQL and/or Python Azure, AWS or GCP ETL and orchestration Knowledge of data warehousing solutions An understanding of data governance Please apply for full details. No sponsorship is on offer unfortunately. More ❯

very down to earth and supportive team and business, and would suit someone with 2-4 years of experience. Requirements: SQL and/or Python Azure, AWS or GCP ETL and orchestration Knowledge of data warehousing solutions An understanding of data governance Please apply for full details. No sponsorship is on offer unfortunately. More ❯

very down to earth and supportive team and business, and would suit someone with 2-4 years of experience. Requirements: SQL and/or Python Azure, AWS or GCP ETL and orchestration Knowledge of data warehousing solutions An understanding of data governance Please apply for full details. No sponsorship is on offer unfortunately. More ❯

data architecture, ensuring performance and scalability. Design, develop, and optimise SQL queries, stored procedures, and ETL pipelines. Work with AWS S3 data lakes and ERP systems to extract, transform, and load data. Ensure data accuracy and integrity across multiple sources. Integrate services via RESTful APIs and manage structured/unstructured data formats. Data Visualisation & Automation Build interactive dashboards in BI … Support forecasting and predictive analytics to guide strategic decisions. Translate complex data into clear, actionable recommendations. Required Skills & Experience Strong SQL expertise, including optimisation and performance tuning. Experience in ETL development, data modelling, and large datasets. Proficiency with BI tools such as Power BI, Superset, or Tableau. Experience with AWS data tools and governance. Strong analytical mindset with a focus More ❯

SQL queries, stored procedures, UDFs, and TVFs, and applying performance tuning strategies for data models. Designing, developing, and maintaining automated data pipelines for efficient data ingestion, transformation, and loading (ETL/ELT) processes. Implementing and championing data validation, sequencing, robust monitoring, and alerting frameworks to ensure accuracy, consistency, and reliability of data. Collaborate closely developers to ensure seamless integration of More ❯

platform and overall data strategy. 2️⃣ Technical Delivery – building scalable, efficient data solutions using Azure Data Factory, Databricks, Synapse, SQL, Python, Terraform and modern CI/CD practices. Building ETL pipelines 3️⃣ Team Leadership – mentoring and developing a talented data team while promoting best practice and collaboration. This is a key hire within a business that values innovation and gives More ❯