1 to 25 of 29 Remote ETL Jobs in the North West

improve data processes Contribute to project teams, ensuring data requirements are addressed from the outset Continuously improve BI tools and data engineering practices Required Skills & Experience Proficiency in SQL, ETL processes, data warehousing, and data modelling (MS SQL preferred) Proven experience in data engineering or analysis Strong analytical and problem-solving skills Excellent communication skills able to explain technical concepts 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 ❯

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 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 ❯

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 ❯

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 ❯

processes for various bordereaux (both Risk and Claims) using data ingestion and analysis tools such as Intrali, Quantemplate, or Matillion. The project focuses on the extraction, transformation, and loading (ETL) of data from various sources into data warehouses and data lakes. This is an ideal role for an aspiring Data Architect in the Insurance Industry. Pro operates a hybrid working More ❯

products or applications, at scale. Strong knowledge of the Python Data Science stack (e.g., pandas/polars, scikit-learn). Ability to independently develop and maintain robust Python-based ETL/ELT data pipelines. Ability to independently develop LLM-based tools/products (e.g., RAG workflows). Familiarity with version control tools such as Git/GitHub. In addition, we More ❯

the core. Supporting the development of a scalable data architecture and engineering roadmap. Helping colleagues across the business solve data problems, from ad hoc data extraction to long-term ETL solutions. Sharing best practices and mentoring junior team members in a newly formed, collaborative data team. Playing an active role in shaping a future-proof data environment as the organisation More ❯

individual who has experience working with enterprise grade data pipelines and infrastructure, who can implement processes on our modern tech stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as … infrastructure components Experience deploying could data infrastructure services Programming experience in Python Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytic tools Skills and experience we’d love you to have... But if not? We’ll help you get there: Understanding of cloud computing security More ❯

with hybrid flexibility Collaborate with a welcoming team that values teamwork and innovation. As a SQL Developer, you'll: Design and develop efficient SQL procedures, views, and functions. Strong ETL Experience Optimise query performance and troubleshoot complex issues. Use tools like SSIS ADF, with exposure to Synapse or SSAS data warehouse design. Integrate data across remote servers and leverage Microsoft More ❯

development of the Business Intelligence strategies and solutions. Manage and enhance data models and architecture, ensuring timely access to accurate information. Oversee BI solutions through effective data warehousing and ETL processes. Provide an approachable business partnering service to align BI tools with user needs. Manage a team of 4 direct reports. What You'll Bring We're looking for someone More ❯

and professional experience Proven experience in leading and delivering complex data migration projects. Strong technical knowledge of data migration tools and techniques. Experience with various data migration methodologies (e.g., ETL, data warehousing). Excellent communication, stakeholder management, and problem-solving skills. Relevant certifications (e.g., Oracle certifications, data management certifications) or equivalent. Experience in a consulting environment. Connect to your business 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 ❯

is utilised when change or new development is needed. Must have sufficient experience working in Data Warehousing and/or data-related roles. Strong understanding of data warehousing and ETL principles. Experience/knowledge of SAS software on SAS 9.4 platform architecture. Ability to interact with Windows and Linux OS as well as batch/shell script to at least More ❯

Role - BI Developer Skills - Azure/ETL/SQL Location -Remote Salary - Up to £50,000 + 10% Bonus Summary This long-established company are looking for a BI Developer to join their team on a permanent basis. Your work would involve ETL processes for data integration, working with stakeholders to understand business needs, and optimizing database queries. The role … strategic business goals. Design and develop the architecture and infrastructure of the Business Intelligence system, including data warehouse structure, data integration processes and data modelling techniques. Implement and optimise Extract, Transform, Load (ETL) processes for integrating data from various sources into the data warehouse. Monitor system performance, identify bottlenecks, and optimise database queries for improved system efficiency. Collaborate with stakeholders … guidance to ensure the BI system meets the organisation's needs. Mentor and provide leadership to your junior team members. Technical Requirements Knowledge of Business Intelligence - Data Warehouse methodology, ETL, etc. Cloud Solutions in Azure SQL and Relational Databases DataBricks experience is highly advantageous Benefits Performance Bonus Generous Annual Leave allowance Buy and Sell Holiday scheme Medical coverage Life insurance More ❯

Data Engineer (AI-Driven SaaS plaform)(Python, Snowflake, Data Modelling, ETL/ELT, Apache Airflow, Kafka, AWS)Large-scale data environmentUp to £70,000 plus benefitsFULLY REMOTE UK Are you a Data Engineering enthusiast who thrives from designing and implementing robust ETL processes, highly scalable data structures and data pipelines within a truly enterprise-scale data processing environment? Do you More ❯

Data Engineer (AI-Driven SaaS plaform) (Python, Snowflake, Data Modelling, ETL/ELT, Apache Airflow, Kafka, AWS) Large-scale data environment Up to £70,000 plus benefits FULLY REMOTE UK Are you a Data Engineering enthusiast who thrives from designing and implementing robust ETL processes, highly scalable data structures and data pipelines within a truly enterprise-scale data processing environment 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 ❯

for a Lead Data Engineer to join our growing tech team. In this senior technical role, you'll lead the design and implementation of scalable data infrastructure and robust ETL pipelines to enable data-driven decision-making across the business. Working closely with analysts, data scientists, and stakeholders across the business, you'll ensure we extract maximum value from our … SQL, and AWS services such as EC2, Redshift, Lambda and Kinesis, alongside strong stakeholder management and commercial awareness. You'll also bring: Proven experience designing and implementing data pipelines, ETL processes, and warehousing in cloud environments. The ability to manage and mentor a team of data engineers, driving standards and continuous improvement. Expertise in working with distributed systems and large More ❯