1 to 25 of 27 ETL Jobs in Manchester

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 ❯

Build and optimize datasets for performance and reliability in Azure Databricks . Collaborate with analysts and business stakeholders to translate data requirements into robust technical solutions. Implement and maintain ETL/ELT pipelines using Azure Data Factory or Synapse Pipelines . Design and develop a fit-for-purpose enterprise data warehouse to serve reporting and analytics. Ensure data quality, data … Azure Data Lake Storage Gen2 . Understanding of data warehouse concepts , dimensional modelling , and data architecture . Experience working with Delta Lake and large-scale data processing. Experience building ETL pipelines in Azure Data Factory or similar orchestration tools. Familiarity with version control systems (e.g., Git ) and CI/CD practices. Preferred Qualifications: Experience in a manufacturing, FMCG, or retail More ❯

clients to gather requirements and deliver solutions. Be willing to engage and assist in pre-sales activities, bids, proposals etc. Use key techniques such as Governance, Architecture, Data Modelling, ETL/ELT, Data Lakes, Data Warehousing, Master Data, and BI. Consistently utilise key processes in the engineering delivery cycle including Agile and DevOps, Git, APIs, Containers, Microservices and Data Pipelines. More ❯

clients to gather requirements and deliver solutions. Be willing to engage and assist in pre-sales activities, bids, proposals etc. Use key techniques such as Governance, Architecture, Data Modelling, ETL/ELT, Data Lakes, Data Warehousing, Master Data, and BI. Consistently utilise key processes in the engineering delivery cycle including Agile and DevOps, Git, APIs, Containers, Microservices and Data Pipelines. More ❯

platform for data analytics, including design and deployment of infrastructure. Expertise in creating CI/CD pipelines. Experience in creating FTP (SFTP/FTPS) configurations. Experience in working with ETL/ELT workflows for data analytics. Degree in Computer Science, Mathematics or related subject. Highly desirable skills & exposure: Working collaboratively as part of an Agile development squad. Experience and knowledge 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 ❯

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 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 ❯

of leading complex data initiatives Strong technical leadership experience, with the ability to guide and develop engineering teams Deep expertise in designing and implementing data architectures, data pipelines, and ETL processes Hands-on experience with cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data More ❯

and implementing automated reporting solutions in Power BI Support the operation of the business's applications which support the distribution of data to external customers Data Modelling: Extract, transform, and load data from a variety of sources into Power BI and develop and maintain data models which support data analysis and reporting requirements Collaboration: Work closely with stakeholders to understand More ❯

pipelines. Familiar with Cloud security, performance optimisation and monitoring tools (Azure Monitor, Log Analytics). Experience in IT service management environments (ITIL). Cross-functional project delivery. Experience with ETL/ELT processes and data modelling. Understanding of data governance, security, and compliance frameworks. Stakeholder Management. What you'll get in return In return, you will be rewarded with ongoing More ❯

maintain both front-end and back-end components for our SaaS security platform, with particular emphasis on data processing and analytics systems Data Engineering: Build and optimize data pipelines, ETL processes, and real-time data streaming systems to support security analytics and intelligence. Data Architecture: Design and implement scalable data storage solutions, including databases, data warehouses, and distributed data systems. … best practices, and contribute ideas to the development of new security features. Key Qualifications: 1-2 years of experience in software development. Experience with data pipeline development and optimization (ETL/ELT processes). Solid understanding of distributed systems, databases,(PostgreSQL, Databricks, Clickhouse, ElasticSearch), and performance tuning. Familiarity with modern web frameworks and front-end technologies (React, Vue, Angular, etc. More ❯

and trends. Requirements: -3+ years of experience as a data engineer. -Strong proficiency in AWS data services such as S3, Glue, Lambda, and Redshift. -Experience with data modelling, ETL processes, and data warehousing concepts. -Proficiency in SQL and Python. Benefits: -Competitive salary, benefits package and discretionary bonus. -Opportunity to work on cutting-edge technology. -Career growth and development opportunities. More ❯

and trends. Requirements: -3+ years of experience as a data engineer. -Strong proficiency in AWS data services such as S3, Glue, Lambda, and Redshift. -Experience with data modelling, ETL processes, and data warehousing concepts. -Proficiency in SQL and Python. Benefits: -Competitive salary, benefits package and discretionary bonus. -Opportunity to work on cutting-edge technology. -Career growth and development opportunities. More ❯

and problem-solving abilities Bring thought leadership to your area of responsibility and enjoy staying ahead in your field You possess the following skills and experiences: Solid understanding of ETL tooling to perform data transformation tasks Strong understanding of data design principles and dimensional data modeling Advanced SQL skills and understanding of query optimization strategies Preferred skills and experience across … the following; ETL Tools –Informatica IICS, Unix/Linux Shell Scripting, SQL Server & Stored Procedures (SSMS), SSMA (SQL Server Migration Assistant), GitHub, API Integration, Alteryx, Data Visualization, Automation & Scheduling, Documentation & Communication What’s Next? If you have the skills and passion to take on this DATA ENGINEER position then APPLY NOW for immediate consideration. 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 ❯

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 ❯

maintain basic BI reports, dashboards, and visualizations to monitor key performance indicators (KPIs). Collaborate with business stakeholders to gather data requirements and translate them into reporting solutions. Support ETL processes by preparing and validating data from various sources for reporting accuracy. Perform exploratory data analysis to identify trends and support business initiatives. Monitor and maintain data quality, accuracy, and … in a BI Analyst, Data Analyst, or similar role. Familiarity with BI tools such as Power BI, Tableau, or Looker. Basic knowledge of SQL and relational databases. Understanding of ETL concepts and data preparation techniques. Strong analytical thinking and attention to detail. Good communication and teamwork skills. Preferred Qualifications Exposure to data warehousing concepts or platforms. Awareness of data governance More ❯

Strong skills in using Excel for data analysis Experience with data visualisation software (PowerBI preferred) to create clear and insightful visualisations Experience using SQL suite of software including the ETL process Ability to present data and findings clearly and concisely to both technical and non-technical audiences. Ability to work collaboratively within a team environment Willingness to take initiative and More ❯

data and validate by profiling in a data environment Understand data structures and data model (dimensional & relational) concepts like Star schema or Fact & Dimension tables, to design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and cleanse data Liaise with data/business SME to understand/confirm data requirements and obtain signoffs Implement data quality procedures More ❯

Lead Data Engineer, £ 70000 - 80000 + benefits. SQL, ETL, Data Warehousing, Databricks etc. Home Based with one day a month at the office in Nottingham. Expanding SaaS product company are looking for a Lead Data Engineer as they continue to grow. In this hands-on role you will be part of the team responsible for designing, creating, deploying and managing … solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of SQL. Experience of data warehousing and data lake solutions. Good knowledge of ETL processes and tools. Knowledge of databricks. This is an excellent opportunity to join a company as it continues to grow and expand its data team. In this lead role you More ❯

Fabric Strong problem-solving and critical thinking abilities Excellent communication skills and stakeholder engagement experience Familiarity with Python for data analysis (pandas, NumPy, etc.) - desirable Understanding of data warehousing, ETL, and data governance - desirable Degree in a STEM subject - nice to have Knowledge of the energy/utilities sector - a bonus Benefits include: Real work-life balance - no constant travel More ❯

The team supports various departments with reporting and management information, offering opportunities to collaborate across the organization and expand your knowledge. Skills & Qualities Key Skills: Experience with ELT/ETL software such as Matillion or FiveTran (desirable) Experience in SQL, specifically on Snowflake Knowledge of data warehousing, analytics, reporting, and business intelligence Experience in data mining and interpretation Experience with More ❯

Deep expertise in architecting and building scalable full-stack systems, with emphasis on backend technologies (Java, Python, databases), cloud platforms (AWS, GCP), and APIs. Strong foundation in data integration, ETL pipelines, and business intelligence tools. Proactive, self-motivated, and business-minded, skilled at balancing technical trade-offs with strategic priorities Excellent communication and collaboration skills Benefits Roku is committed to More ❯

Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine More ❯