1 to 25 of 40 DemandTrendPermanent ETL Jobs in Manchester

and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python, SQL, and Spark Experience with data modelling, ETL/ELT processes, and pipeline orchestration Familiarity with CI/CD and DevOps practices in a data engineering context Excellent communication and stakeholder engagement skills Desirable: Experience with Delta Lake More ❯

and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python, SQL, and Spark Experience with data modelling, ETL/ELT processes, and pipeline orchestration Familiarity with CI/CD and DevOps practices in a data engineering context Excellent communication and stakeholder engagement skills Desirable: Experience with Delta Lake More ❯

hands-on experience working with Cognos Analytics, including advanced proficiency in Report Studio, Framework Manager, and Dashboarding. Strong expertise in data modelling, data warehousing concepts, and SQL; experience with ETL processes is a plus. Proven track record in designing, building, and optimising large-scale BI and reporting solutions, especially in financial or operational domains. Solid understanding of BI best practices More ❯

ideally within internal consultancy or transformation environments. Strong experience with PostgreSQL , Power BI , and low-code platforms (Budibase or similar). Solid programming skills, preferably in Python , especially for ETL development and support. Proficiency with version control systems (e.g., GitHub ), with an understanding of best practices for collaboration, review, and deployment. Familiarity with REST APIs , including how to design, consume More ❯

be pivotal in integrating and analysing data from Bullhorn, Xero, and other internal systems to track performance, improve operational efficiency, and support revenue growth. Key Responsibilities Data Integration & Management Extract, transform, and load (ETL) data from Bullhorn, Xero, and other sources into BI platforms. Maintain and optimise the data architecture for reliability and scalability. Reporting & Analytics Design and maintain real …/reporting features) and Xero . Proficiency in BI tools such as Power BI , Tableau , or Looker . Solid understanding of SQL for data querying and transformation. Experience with ETL processes and integrating multiple data sources. Strong analytical skills and business acumen, with the ability to translate data into actionable insights. Excellent communication skills, with the ability to present complex More ❯

be pivotal in integrating and analysing data from Bullhorn, Xero, and other internal systems to track performance, improve operational efficiency, and support revenue growth. Key Responsibilities Data Integration & Management Extract, transform, and load (ETL) data from Bullhorn, Xero, and other sources into BI platforms. Maintain and optimise the data architecture for reliability and scalability. Reporting & Analytics Design and maintain real …/reporting features) and Xero . Proficiency in BI tools such as Power BI , Tableau , or Looker . Solid understanding of SQL for data querying and transformation. Experience with ETL processes and integrating multiple data sources. Strong analytical skills and business acumen, with the ability to translate data into actionable insights. Excellent communication skills, with the ability to present complex More ❯

implementing data engineering best-practice (e.g., source-to-target mappings, coding standards, data quality, etc.), working closely with the external party who setup the environment . Create and maintain ETL processes, data mappings & transformations to orchestrate data integrations. Ensure data integrity, quality, privacy, and security across systems, in line with client and regulatory requirements. Optimize data solutions for performance and … up monitoring and data quality exception handling. Strong data modelling experience. Experience managing and developing CI/CD pipelines. Experience with Microsoft Azure products and services, and proficiency in ETL processes. Experience of working with APIs to integrate data flows between disparate cloud systems. Strong analytical and problem-solving skills, with the ability to work independently and collaboratively. The aptitude More ❯

what will help you thrive in this role: 2-5 years in data engineering or a related field Strong PySpark and advanced SQL skills Practical experience building and maintaining ETL/ELT pipelines in Databricks Familiarity with CI/CD pipelines and version control practices Nice to have: Experience using Databricks Asset Bundles (DAB) Working knowledge of GCP and/ More ❯

and stakeholder engagement And any experience of these would be really useful Experience with telephony platforms (e.g. Genesys, Twilio, Avaya, Nuance) Infrastructure as Code (Terraform, Ansible, Puppet) Data engineering (ETL, SQL, Power BI, Tableau) Secure-by-design principles and architectural patterns Interest in AI, IoT, or service mesh (e.g. Istio) NodeJS A passion for delivering business value through sound engineering More ❯

field. Strong analytical and problem-solving skills. Good Database and SQL skills Experience with data visualization tools (e.g., Power BI, Tableau, Looker). Basic understanding of data modelling and ETL concepts. Good communication and documentation skills. If you're interested, please apply below! INDMANJ 49567NB More ❯

field. Strong analytical and problem-solving skills. Good Database and SQL skills Experience with data visualization tools (e.g., Power BI, Tableau, Looker). Basic understanding of data modelling and ETL concepts. Good communication and documentation skills. If you're interested, please apply below! INDMANJ 49567NB More ❯

design, content, and new learning features through robust A/B testing and statistical significance testing.- Develop and maintain dashboards using Power BI, supported by SQL and Python-based ETL pipelines.- Help shape a centralised Learning Analytics Framework that tracks key KPIs on learner success, engagement, and satisfaction.- Translate complex analysis into accessible insight for stakeholders across product, learning, curriculum More ❯

design, content, and new learning features through robust A/B testing and statistical significance testing. - Develop and maintain dashboards using Power BI, supported by SQL and Python-based ETL pipelines. - Help shape a centralised Learning Analytics Framework that tracks key KPIs on learner success, engagement, and satisfaction. - Translate complex analysis into accessible insight for stakeholders across product, learning, curriculum More ❯

design, content, and new learning features through robust A/B testing and statistical significance testing. - Develop and maintain dashboards using Power BI, supported by SQL and Python-based ETL pipelines. - Help shape a centralised Learning Analytics Framework that tracks key KPIs on learner success, engagement, and satisfaction. - Translate complex analysis into accessible insight for stakeholders across product, learning, curriculum More ❯

hands-on experience working with Cognos Analytics, including advanced proficiency in Report Studio, Framework Manager, and Dashboarding. • Strong expertise in data modeling, data warehousing concepts, and SQL; experience with ETL processes is a plus. • Proven track record in designing, building, and optimizing large-scale BI and reporting solutions, especially in financial or operational domains. • Solid understanding of BI best practices More ❯

Troubleshoot integration issues and optimize pipeline performance Document workflows and maintain best practices for SnapLogic development Requirements: Proven hands-on experience with SnapLogic (Enterprise Integration Cloud) Strong understanding of ETL/ELT concepts and integration patterns Experience working with APIs, cloud platforms (e.g., AWS, Azure, GCP), and databases (SQL/NoSQL) Familiarity with REST, JSON, XML, and data mapping/ More ❯

a real impact What You’ll Bring: 2–5 years’ experience in data engineering or similar Strong PySpark and advanced SQL skills Hands-on experience with Databricks and building ETL/ELT pipelines Familiarity with CI/CD and version control Bonus Points For: Experience with Databricks Asset Bundles (DAB) Exposure to GCP , Azure , BigQuery , or Harness What’s In More ❯

Knowledge of data platforms, processing, and data structures Experience with machine learning libraries and tools Familiarity with data query languages like SQL and HiveQL Experience with data integration and ETL processes Excellent problem-solving and analytical skills Degree in Data Science or a related field Behaviours: Self-motivated and enthusiastic Determined and passionate about data and technology Decisive, with the More ❯

You'll join a fast-paced, delivery-focused data team responsible for building and optimising scalable, production-grade data pipelines and infrastructure. Key Responsibilities: Design and implement robust, scalable ETL/ELT pipelines using Databricks and Apache Spark Ingest, transform, and manage large volumes of data from diverse sources Collaborate with analysts, data scientists, and business stakeholders to deliver clean More ❯

Finance, Actuarial, and Data Engineering to understand requirements and deliver high-impact data solutions. Expertise in Data Engineering and Development - you'll be comfortable designing, building, and optimising scalable ETL/ELT pipelines using cloud-based technologies and SQL, ensuring data is accessible, accurate, and timely. Financial and Actuarial Knowledge - you'll bring a working understanding of finance and actuarial … you'll use Python to develop scripts for automation, data transformation, and analytics - enabling everything from reserves analysis to forecast simulations. What's involved: Design, build, and optimise scalable ETL/ELT workflows for financial and actuarial datasets. Integrate data from financial systems (e.g., Workday) and actuarial sources into centralised data platforms. Collaborate with finance and actuarial teams to understand More ❯

cloud-native data pipelines Comfortable collaborating with cross-functional teams (engineering, product, stakeholders) Nice to have: Familiarity with tools like dbt, Airflow, or Python scripting Knowledge of data warehousing, ETL frameworks, and modern data stack best practices Why this role: Our client has a clear vision for what success looks like in this role. You'll have direct ownership over More ❯

cloud-native data pipelines Comfortable collaborating with cross-functional teams (engineering, product, stakeholders) Nice to have: Familiarity with tools like dbt, Airflow, or Python scripting Knowledge of data warehousing, ETL frameworks, and modern data stack best practices Why this role: Our client has a clear vision for what success looks like in this role. You'll have direct ownership over More ❯

defence sector. The successful candidate must have: 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 skills (e.g. Python). Big data technologies knowledge (e.g. Hadoop stack). This position offers a lucrative benefits package, which includes but is not inclusive of More ❯

defence sector. The successful candidate must have: 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 skills (e.g. Python). Big data technologies knowledge (e.g. Hadoop stack). This position offers a lucrative benefits package, which includes but is not inclusive of More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester(Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies)About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects … an experienced Data Engineer to join their team in Manchester. This hybrid position involves working within the pharmaceutical industry, focusing on the design, development, and maintenance of data pipelines, ETL processes, and databases. The role is ideal for someone passionate about improving processes, ensuring data quality, and maintaining compliance with regulatory standards. focusing on designing, developing, and maintaining data pipelines … ETL processes, and databases. If you are passionate about driving continuous improvement and ensuring data quality and compliance, we want to hear from you.Key Responsibilities:Design, develop, maintain, and optimise data pipelines, ETL processes, and databases.Drive continuous improvement by refining processes, products, and identifying new tools, standards, and practices.Collaborate with teams across the business to define solutions, requirements, and testing More ❯