1 to 25 of 39 ETL Jobs in the North West

data storage systems, including databases, data warehouses, and data lakes, to efficiently handle large volumes of structured and unstructured data. Develop and maintain scalable ETL pipelines to extract, transform, and load data from various sources into the target data systems. Create and manage data schemas, data models, and data dictionaries to facilitate data governance and ensure data consistency and standardization. … Experience handling large datasets and complex data pipelines. Experience with big data processing frameworks and technologies. Experience with data modelling and designing efficient data structures. Experience with data integration and ETL (Extract, Transform, Load) processes. Experience in data cleansing, validation, and enrichment processes. Strong programming skills in languages such as Python, Java, or Scala. Knowledge of data warehousing concepts and … dimensional modelling. Understanding of data security, privacy, and compliance requirements Proficiency in data integration and ETL tools Strong analytical skills and the ability to understand complex data structures. Capable of identifying data quality issues, troubleshooting problems, and implementing effective solutions. Experience using Microsoft Azure Software Engineering specifically Python Disclosure and Barring Service Check This post is subject to the Rehabilitation More ❯

Main duties of the job To deliver and maintain data transfer pipelines between clinical/operational source systems and the Christie Central Data Repository (CCDR). Ensure that all extract, transform and load (ETL) processes are robust, operate efficiently and fully documented. Learn and assist in the development of new tools, technologies and methods of working as they are identified … appropriate data warehousing design and software development methodologies agreed for use within the team. Produce detailed technical specifications and documentation for the support, maintenance, monitoring and quality assurances of ETL processes. Investigate, support, correct and prevent issues relating to existing Trust developed data reporting systems and processes, identifying issues and implementing resolutions in a timely manner. Participate in the sprint … and deployment of Business Intelligence functions in a large/complex organisation. Substantial experience of SQL Server database/data warehouse development maintenance and support. Substantial experience of handling ETL solutions and issues across a range of systems. Substantial experience of delivering complex data and reporting projects. Experience in task resource estimation for sprint planning. Experience in creating and updating More ❯

and reliable flow of data, building foundational skills in a supportive environment. Key Responsibilities Data Pipeline Development • Contribute to the design, building, and maintenance of scalable data pipelines • Implement ETL (Extract, Transform, Load) processes to ingest data from various sources • Ensure data quality, integrity, and reliability through thorough testing and validation Database Management • Help manage and optimise data storage solutions More ❯

leading data visualisation platform. Harness a modern data platform to seamlessly integrate and manage data from diverse sources. Maintain and enhance sophisticated financial models and reporting systems. Implement robust Extract, Transform, and Load (ETL) processes to ensure data flows smoothly and accurately. Champion data accuracy, consistency, and integrity across all BI deliverables. Contribute to the establishment and enforcement of data More ❯

leading data visualisation platform. Harness a modern data platform to seamlessly integrate and manage data from diverse sources. Maintain and enhance sophisticated financial models and reporting systems. Implement robust Extract, Transform, and Load (ETL) processes to ensure data flows smoothly and accurately. Champion data accuracy, consistency, and integrity across all BI deliverables. Contribute to the establishment and enforcement of data More ❯

an initial 7-month contract with an immediate start and strong potential for extension on a greenfield project. Key Responsibilities Design, build, and optimise data pipelines using ELT/ETL best practices. Migrate and transform data into a Databricks Lakehouse architecture. Ensure data quality, reliability, and scalability for analytics and reporting. Collaborate with stakeholders to deliver robust solutions aligned with More ❯

Master Data Governance in multi-site production & distribution organisation Experience with BI tools and reporting systems (Power BI, DAX, SQL, Advanced Excel) advantageous Experience in building or working with ETL tools is a must Excellent communication skills and ability to work across departments, locations and countries. Proactive, detail-oriented, and technically minded with a problem-solving mindset. We provide: High More ❯

automating data ingestion, transformation, and loading using Python. Build reproducible workflows and apply software engineering best practices, including CI/CD and version control. Design, implement and optimise business Extract, Transform and Load (ETL) pipelines. Collaborate on data modelling, storage and integration to support both geospatial and data science teams. Communicate effectively with technical and non-technical audiences through presentations … advanced knowledge of GIS software or work experience and qualifications reflecting a similar level of expertise. Experience with ESRI stack, particularly ArcGIS Pro, ArcGIS Online and Enterprise. Experience with ETL technologies like FME and ESRI Pipelines/Data Interoperability. Strong programming skills in Python (including ArcPy and data science libraries), with additional experience in .NET, Java or modern JavaScript libraries. … Azure cloud platform, including data and AI services, and MLOps Knowledge of geospatial data warehousing and analytics. Familiarity with leading AI/ML platforms and libraries Experience building and scheduling ETL workflows. Knowledge of spatial data management and geospatial queries. Experience with containerised application development (e.g. Docker). Experience in a consultancy environment, with the ability to embed within multidisciplinary More ❯

finance and cashflow reporting- Own projects end-to-end with minimal supervision TECH STACK - Cloud: Google BigQuery (GCP)- Data Transformation: DBT- BI Tools: Omni, Metabase, Looker Studio- Analytics: Amplitude- ETL: Fivetran- Version Control: Git WHAT YOU NEED Essential: 4+ years in Data/Analytics Engineering or BIStrong SQL skills (production-level)DBT experience (essential)Cloud data warehouse experience (BigQuery, Snowflake More ❯

impact across their data landscape. The role will involve: Supporting the BI reporting team by creating and maintaining data solutions for KPI reporting. Developing scalable, performance-optimised ELT/ETL pipelines using T-SQL, Python, ADO, C#, PySpark and Jupyter Notebooks. Working with the Gazetteer and GIS teams to maintain stable, consolidated database platforms for mapping and GIS systems. Contributing More ❯

essential. The Skill Requirements: We're looking for candidates with a blend of the following: Strong knowledge of AWS data services (Glue, S3, Lambda, Redshift, etc.) Solid understanding of ETL processes and data pipeline management Proficiency in Python and PySpark Experience working with SQL-based platforms Previous involvement in migrating on-premise solutions to cloud is highly desirable Excellent collaboration More ❯

core AWS data services (for example S3, Glue, Athena, Lambda, IAM, EMR). • Strong SQL skills (joins, window functions, optimization). • Solid Python for data processing. • Experience building production ETL/ELT pipelines. • Working knowledge of security and IAM (roles, policies, least privilege). • Experience with Infrastructure as Code ( IaC) and CI/CD for data (nice to have). More ❯

ticket backlogs effectively at speed is required. Strong communication and organisational skills are essential with knowledge of dbt also being required as Senior Ops/App Support Engineer. Strong ETL, SQL and Data as well as analytics are essential as Senior Ops/App Support Engineer as is in depth knowledge to resolve technical issues (with MuleSoft, Alteryx, Power BI More ❯

driven decision-making. Key Responsibilities and Skills Required: - Proficiency in Azure Databricks for data engineering tasks. - Strong understanding of data transformation and pipeline development. - Experience with data integration and ETL processes. - Ability to collaborate with cross-functional teams to enhance data solutions. - Familiarity with cloud-based data storage and processing solutions. This is an excellent opportunity for a candidate who More ❯

on all the following and more. Produce reports and analysis summarising the performance of offices, branches and regions. Analyse individual business data and make recommendations to improve performance. Creating ETL solutions to capture data from multiple sources and map/structure into either QVD files or SQL databases depending on the solution required. Optimize SQL server queries to efficiently and More ❯

internal customers. What we're 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) Knowledge in Generative AI (Artificial More ❯

vision, data engineering including transformation and pipelines, data storage and architecture, or data governance. Previous consulting or professional services experience (or consulting-type roles) Understand data architecture concepts like ETL/ELT pipelines, data lakes/warehouses/lakehouses and data mesh and new emerging patterns Capabilities in one or more other specialist areas such as data architecture, data science More ❯

role, you will be responsible for designing, developing, and maintaining business intelligence solutions that drive data-driven decision-making across our organisation. Design and implement data warehouse solutions and ETL processes to support business intelligence initiatives Develop and maintain complex SQL queries, stored procedures, and functions for data extraction and analysis Create interactive dashboards and reports using business intelligence tools … Systems, or a related field Minimum of 3 years' experience in business intelligence or a related role Strong proficiency in SQL and experience with data warehousing concepts Understanding of ETL processes and tools Proficient in using business intelligence tools such as Tableau or Power BI Experience with data modelling and database design Knowledge of Python or R programming for data More ❯

Translating Business requirements to technical solutions and the production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science … data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety of industry sectors an advantage, Comprehensive understanding of data management best practices including demonstrated experience with More ❯

and ensuring the integrity, availability, 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 data pipelines for ingestion, transformation … Proven track record in designing 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/CD practices. Experience with Data More ❯

teams on analytics and insights Track performance and drive continual improvement Skills & Experience 7+ years in data management, incl. 3+ in leadership Strong knowledge of data architecture, governance, SQL, ETL Experience in regulated industries (financial preferred) Familiarity with SaaS-based CRM solutions Excellent leadership and communication skills Benefits 💰Salary: £55,000-£65,000 🌿Well-being and lifestyle support programmes ⭐Recognition More ❯

with Python and AWS experience. This role would be £475 per day, inside IR35 & would be hybrid with one day a week expected in Manchester. Key Responsibilities: Python AWS ETL Data Migration experience If the above sounds like you, click apply. More ❯

V3 or working towards Previous experience in providing application support Ability to create technical documentation, knowledge-based articles and user guides Knowledge of reporting tools, SQL, Power BI or ETL Familiar with supporting Northgate Housing Management System (or similar) is advantageous Experience supporting repairs & scheduling systems (ROCC, DRS or similar) also advantageous but not essential In return, you will be More ❯

V3 or working towards Previous experience in providing application support Ability to create technical documentation, knowledge-based articles and user guides Knowledge of reporting tools, SQL, Power BI or ETL Familiar with supporting Northgate Housing Management System (or similar) is advantageous Experience supporting repairs & scheduling systems (ROCC, DRS or similar) also advantageous but not essential In return, you will be More ❯

Translating Business requirements to technical solutions and the production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science … data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety of industry sectors an advantage, Comprehensive understanding of data management best practices including demonstrated experience with More ❯