1 to 25 of 26 ETL Jobs in Manchester

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

systems integration as well as object-oriented design patterns and development. - Software engineering skills within the Salesforce Platform (Apex, VisualForce, SOQL). - Experience and knowledge of relational databases and ETL tools. - Experience with Agile development methodologies. - Experience with web services (REST, JSON & XML). - A desire to work within a fast-paced, collaborative and team-based support environment. - Must demonstrate More ❯

role in designing, building, and scaling robust data platforms that support analytics, reporting, and advanced insight across the organisation. Key Responsibilities of the Role: Design, build, and maintain reliable ETL processes and end-to-end data pipelines. Develop and manage data warehousing solutions to support analytics and reporting needs. Work with both structured and unstructured data, ensuring high-quality data … Work both independently and collaboratively, demonstrating proactive problem-solving and critical thinking. Key Experience Needed: 5+ years of experience in Data Engineering or a similar role. Proven experience building ETL pipelines and large-scale data systems. Strong understanding of data warehousing, modelling, and transformation. Experience with cloud platforms (AWS preferred). Exposure to Snowflake, or willingness to learn. Familiarity with More ❯

the metrics, responsible for architecting the robust data pipelines that fuel our clients' growth and performance. We stay curious by constantly exploring new technologies like BigQuery and cutting-edge ETL tools, and we get stuck in by collaborating closely with our strategy, development, and marketing teams to turn raw data into transparent, high-impact insights. If you love the challenge … One Trust or Cookiebot. Build compelling dashboards and reports in tools like Looker Studio, Power BI, or Tableau, delivering key insights on web traffic and performance. Build and maintain ETL/ELT pipelines (e.g., acquisition BigQuery Looker Studio) to ensure reliable data flow for reporting. Manage data warehousing , including defining and optimising data schemas and staging tables for efficiency and … experience managing cookie consent platforms (e.g., One Trust, Cookiebot). Strong expertise in SQL —it's essential for working with and optimising data warehouses Proven experience building and maintaining ETL/ELT pipelines , whether custom or using tools like dbt, Fivetran, or Airbyte. Experience with BigQuery or other major cloud-based data warehouses. An adaptable, organised, and detail-oriented mindset More ❯

Contract Data Analyst (BigQuery) – Inside IR35 Location: Manchester - 2 days a week in the office Contract: 3 months (Inside IR35) Day Rate: Competitive (Inside IR35) Start Date: ASAP About the Role I'm seeking an experienced Data Analyst with deep More ❯

and turning data into decisions, this is the role for you. What you'll do Design and develop end-to-end Azure Data Warehouse solutions Build and maintain robust ETL/ELT pipelines using Azure Data Factory. Implement and maintain efficient data models and star/snowflake schemas. Optimize queries, improve performance, and ensure data quality and integrity. Develop and … strong Azure expertise. Solid understanding of SQL, T-SQL, and performance tuning. Hands-on experience with Azure Synapse Analytics, Data Factory. Strong background in data modelling, dimensional design, and ETL development. Proficiency in Power BI for data visualisation and reporting. Experience with Power Automate for process automation and workflow integration. Excellent problem-solving skills and the ability to work independently More ❯

insightful dashboards and visualisations (Power BI preferred, but any strong data visualisation experience considered). Use SQL to manage and analyse large datasets efficiently. Apply your strong understanding of ETL processes to improve data workflows and ensure reliable data pipelines. Perform robust data cleaning and preparation to support high-quality analytics. Tell compelling stories with data-translating complex insights into … and discovery. What We're Looking For Strong experience in data visualisation (Power BI ideal). Solid SQL skills and comfort working with large, complex datasets. Strong grasp of ETL concepts and data pipeline processes. Proficiency in data cleaning, transformation, and preparation. Excellent communication and data storytelling ability. Ability to collaborate with stakeholders and translate requirements into analytical solutions. Curiosity More ❯

ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL More ❯

enhance performance and quality. • Collaborate with internal customers to define and optimise their data requirements. • Ensure data compliance and governance across multiple systems and workflows. • Work with SQL, noSQL, ETL, and API-based data exchange frameworks. • Support innovation by exploring and integrating Generative AI, NLP, and OCR technologies. • Contribute to the adoption of modern big data and containerisation technologies. Skills … Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases (e.g. MongoDB, InfluxDB, Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and OCR methodologies. • Familiarity with Generative AI concepts and tools (advantageous). • Experience More ❯