1 to 25 of 45 ETL Jobs in the North West

Responsibilities Build and manage data pipelines using Azure Synapse, Data Factory, Databricks or Microsoft Fabric Design, implement and maintain data lakes data warehouses and ETL/ELT processes Develop scalable data models for reporting in Power BI Work closely with stakeholders to understand business needs and advise on solutions that ...

matures Skills & Experience Strong experience in data engineering within a Microsoft ecosystem with hands-on experience with: Azure Data Lake Azure data pipelines/ETL SQL and relational data modelling Comfortable working with high-volume, low-value transaction data Experience integrating multiple systems into a central data platform Ability ...

Azure Data Factory, Power BI , and Databricks , with Python as the primary coding language . This role requires hands-on experience with database design, ETL development, data integration, and a passion for data quality and governance. 🗓 So, what will your day-to-day look like? Data Best Practices : Ensure best … level designs and work packages and supporting the production of analytical outputs , operational insights and visualisations to be utilised by the investment team. ETL Development : Build and manage high-quality, secure, and governed ETL processes using on-premise and cloud-based data sources. Data Quality & Monitoring: Design data observability and ...

business increases. What you’ll be doing Helping shape and deliver a refreshed data strategy and modern analytics platform Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Designing and optimising core data models that are dimensional, analytics-ready, and built to last ...

looking for Essential experience: Experience leading or managing technical teams (data engineers, analytics, or software developers) Strong understanding of data engineering concepts (pipelines, ETL/ELT, data modelling) Azure cloud experience (Azure DevOps, Data Factory, Azure SQL, Functions, Logic Apps) Experience translating business requirements into technical solutions Excellent communication skills ...

libraries such as pandas, PySpark, numpy, pyodbc or associated would be beneficial Hands-on experience (or academic project experience) using PySpark. An understanding of ETL/ELT processes and/or building data flow pipelines in any technology, and how to structure data for analytical or reporting use. Familiarity with ...

data pipelines are scalable, repeatable, and secure. Utilizes a deep dive analytical skillset on a variety of internal and external data. Your Responsibilities Writes ETL (Extract/Transform/Load) processes, designs database systems, and develops tools for real-time and offline analytic processing. Troubleshoots software and processes for data … special projects and performs other duties as assigned. Your Profile Essential Skills/Knowledge/Experience Proficiency in designing, development, and maintenance of robust ETL pipelines for data ingestion and transformation. Cloud platform expertise: Good exposure with AWS services for data storage, processing, and orchestration. Data modeling and architecture: Design ...

complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of ETL Experience of data warehousing and data lake solutions. Good experience working in an Agile environment. This is an excellent opportunity to join a company ...

administration of Microsoft SQL Server, including installation, configuration, upgrades, and patching. Experience supporting Databricks or other cloud-based analytics, big data, or ETL platforms. Business Intelligence Exposure: Familiarity with BI and reporting tools such as Power BI or Tableau, particularly for supporting data and performance investigations. Awareness of non-relational ...

and performance of the critical data assets. You will collaborate closely with architects, analysts, and business stakeholders to build cloud-native data platforms, streamline ETL/ELT processes, and implement best practices for data governance, quality, and security. The responsibilities include: Data Engineering & Development: Design, build and maintain high-performance … and implementing cloud-based data solutions (preferably in Azure). Expert-level SQL and database design (normalisation, indexing, query optimisation). Strong experience with ETL/ELT tools. E.g. Azure Data Factory, Databricks, Synapse Pipelines, SSIS, etc. Experience with Python, PySpark, or Scala for data processing. Familiarity with CI/ ...

workflows. Design data architecture and pipelines that support multi-OpCo deployment, ensuring modularity and interoperability. Required Skills & Experience Expertise in Python, SQL, and modern ETL frameworks. Hands-on experience with cloud platforms (AWS preferred). Strong knowledge of data modeling and API integration. Proven experience in developing, testing, and deploying ...

high-performance data warehouse that supports analytics, reporting and AI use cases Building clear, insightful Power BI dashboards used by senior stakeholders Developing ETL/ELT processes using Azure-native tools including Data Factory, Functions and Logic Apps Working hands-on with Python and SQL to transform, enrich and analyse … and compliance Main Skills Needed: Strong background in data engineering or data architecture (around 7–8 years’ experience) Proven experience building and maintaining complex ETL/ELT pipelines Advanced Python and SQL skills Solid hands-on experience with Azure data services (Data Factory, Synapse, Data Lake, Functions, Logic Apps) Power ...

than a rigid corporate machine). Technical Chops: Proficiency in SQL , and ideally Python or R , with a deep understanding of data warehousing and ETL processes. Platform Expertise: Solid experience with modern platforms like Microsoft Fabric . Stakeholder Mastery: An exceptional ability to communicate complex data insights to non-technical ...

will take charge of a Data Engineering team focused on data ingestion and modelling. Specifically, you can expect to be involved in the following: ETL pipelines for data ingestion and data modelling Using AWS to store and process data, with Snowflake as the data warehouse Use of Python and ...

development projects. Advanced TypeScript skills and strong containerization experience (AKS). Hands-on expertise across Azure compute, storage, networking, and security. Exposure to Databricks, ETL, and analytics workflows. Strong leadership abilities: mentoring, code review, and collaborative solution-design. Excellent problem-solving skills and the ability to communicate technical concepts ...

development projects. Advanced TypeScript skills and strong containerization experience (AKS). Hands-on expertise across Azure compute, storage, networking, and security. Exposure to Databricks, ETL, and analytics workflows. Strong leadership abilities: mentoring, code review, and collaborative solution-design. Excellent problem-solving skills and the ability to communicate technical concepts ...

development projects. Advanced TypeScript skills and strong containerization experience (AKS). Hands-on expertise across Azure compute, storage, networking, and security. Exposure to Databricks, ETL, and analytics workflows. Strong leadership abilities: mentoring, code review, and collaborative solution-design. Excellent problem-solving skills and the ability to communicate technical concepts ...

looking for from you: SQL technologies skills (e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition ...

management, integration, or analytics for utilities or energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem ...

reporting needs. Location - Chester, UK 3 days onsite role Key Skills & Responsibilities: Strong experience with Informatica IDMC (Data Integration, Cloud services) Design and develop ETL/ELT workflows Work with cloud and on-prem data sources Strong SQL and data warehousing knowledge Perform data validation, troubleshooting, and performance tuning Collaborate ...

system migrations from on-premises environments to the public cloud (Azure preferred). Strong knowledge of cloud-based data storage, data cataloguing and lineage, ETL processes and data pipelines. Hands-on expertise with Python and SQL for data processing, alongside experience promoting DevOps practices and an SRE mindset for continuous ...

others. Lead or co-lead cross-site analytics initiatives, sharing best practices and building a plant-level analytics playbook. Data collection, transformation, and governance Extract, transform, load, analyse, and report complex manufacturing data from multiple sources. Establish and maintain data quality checks, metadata, lineage, governance, and security controls to ensure ...

monitoring and optimisation, within a demanding technical environment - Highly skilled in SQL Server Management Studio and associated tooling, with strong capability in schema design, ETL processes and secure data handling - Proven expertise in performance tuning, profiling, backups and recovery, including deep understanding of T-SQL, transaction logs and restore procedures ...

Stakeholder collaboration : Turning business questions into clear, actionable insights. Data Analyst Desired Skills: Experience with SQL, PLSQL, Python or other scripting languages. Knowledge of ETL processes or data transformation concepts. Familiarity with IFS or other ERP systems. An interest in data-driven technology environments. Data Analyst Desired Experience: Strong Excel ...

processes (not one-off scripts) What they’re looking for Roughly 2–5 years in data engineering Strong Python + SQL and hands-on ETL/ELT Experience with sensitive/regulated data (healthcare/NHS ideal) and can explain how you’ve handled PII/PHI Comfortable on-site ...