1 to 25 of 45 Permanent ETL Jobs in the North West

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 ❯

the Role Designing, building and maintaining data pipelines. Building and maintaining data warehouses. Data cleansing and transformation. Developing and maintaining ETL processes (ELT = extract, transform, load) to extract, transform, and load data from various sources into data warehouses. Validating charts and reports created by systems built in-house. Creating validation tools. Developing and maintaining data models, data tools. Monitoring and … Experience in R programming language. Experience in Python programming language. Experience in designing, building and maintaining data pipelines. Experience with data warehousing and data lakes. Experience in developing and maintaining ETL processes. Experience in developing data integration tools. Experience in data manipulation, data analysis, data modelling. Experience with cloud platforms (AWS, Azure, etc.) Experience in designing scalable, secure, and cost More ❯

using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams 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 ❯

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 ❯

reporting in a consultancy and programme-delivery context. Experience with Zoho Analytics and Salesforce is a bonus. Key Responsibilities Data Management & Reporting Write and maintain efficient SQL queries to extract, transform, and load (ETL) data from various sources Develop scalable and insightful dashboards and reports in Power BI to support programme performance tracking, operations, and compliance Monitor and troubleshoot 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 ❯

This includes hands-on knowledge of cloud-based data storage, processing, and analytics solutions. Good understanding of business processes. Strong analytical skills and techniques. Expertise in Batch \Real Time ETL Solution skills along with performance enhancement knowledge. Strong knowledge of data and analytics, such as dimension modelling, ETL, Reporting tools, Data governance, Data warehousing, Structured and Unstructured data. Other skills 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 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 ❯

helping businesses make better decisions. Someone who thrives in a collaborative environment and values transparency and integrity. Strong analytical and problem-solving skills. Basic knowledge of data modelling and ETL processes. Proficiency in Excel and other Microsoft Office applications. Ability to communicate clearly and effectively with technical and non-technical audiences. Willingness to learn and adapt in a fast-paced … with stakeholders to define requirements, develop BI solutions and give advice on data strategy, visualization best practices and performance optimization. In addition, you'll assist with data integration and ETL processes with the IT and data teams identifying opportunities for analytics-driven improvements across the business. You will support the design and implementation of BI solutions, including data models and 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 ❯

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 ❯

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. Due to the volume of applications 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 ❯