18 of 18 Remote ETL Jobs in the North West

in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL (and Python would be a bonus) Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric Knowledge of data lakes and medallion lake house design Working knowledge of Power BI or similar More ❯

to encourage best practice adoption. Skills & Experience Minimum of 8–9 years’ relevant development experience. Strong technical expertise with: MS SQL Server (T-SQL, stored procedures, functions) SSIS/ETL tools (Informatica preferred) Web APIs & SOA .NET Framework, .NET Core, ASP.NET, MVC ✅ Additional beneficial skills: SSAS/SSRS Tableau or Power BI C# development SharePoint Data modelling & real-time data 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 ❯

configuration & system administration Integration experience with ERP systems (ideally SAP) & other Enterprise data sources Information Systems Concepts - Full Systems Development Lifecycle (SDLC) - Solid understanding Designing & implementing data flows, automations & ETL processes Troubleshoot technical issues - optimise model performance & enhance existing processes Power BI - Exposure/experience of Power BI - data visualisation (training can be provided) Alteryx - Familiarity with Alteryx (desirable, not More ❯

including interrogation of databases • Proficiency in T-SQL and working knowledge of SQL Server Management Studio • Experience with data governance, data quality, and metadata documentation • Understanding of relational databases, ETL/ELT processes, and APIs • Familiarity with GDPR and data protection regulations • A degree in a STEM subject or equivalent, plus relevant professional certifications • Experience working within the Housing or More ❯

SQL queries, stored procedures, UDFs, and TVFs, and applying performance tuning strategies for data models. Designing, developing, and maintaining automated data pipelines for efficient data ingestion, transformation, and loading (ETL/ELT) processes. Implementing and championing data validation, sequencing, robust monitoring, and alerting frameworks to ensure accuracy, consistency, and reliability of data. Collaborate closely developers to ensure seamless integration of 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 ❯

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 ❯

period of data and platform transformation. About the Role As a Senior Software Engineer, you’ll work across both application and data layers, with a strong focus on SQL, ETL, data pipelines, performance tuning, and system integrations. You’ll play a key role in shaping our future architecture, modernising legacy systems, and driving improvements in quality, performance, and scalability. This … Collaborate with architecture and product teams to deliver high-quality software at pace Refactor and re-platform legacy data centric components into modern, cloud-first services Data Engineering Drive ETL development, data ingestion, and transformation pipelines Improve database performance and optimise slow-running queries across large datasets Introduce automation and quality improvements to database change processes Leadership Path Mentor junior … problem-solving skills and an ownership mindset A genuine passion for mentoring and knowledge sharing Desirable Experience Exposure to Azure services such as App Services, Functions, or Service Bus ETL pipeline development using Azure Data Factory Familiarity with Databricks , Synapse , or Spark Experience working within event-driven architectures Understanding of DevOps principles , Infrastructure as Code (Terraform/Bicep) , and observability More ❯

Linux and Windows System Experience on Monitoring tools such as AppDynamics, ITRS, Elastic APM, Grafana, etc. Good to have: Working experience in Angular, NodeJS, etc Working experience on APIs, ETL processes and scripting. Good understanding of Openshift, Docker, Kubernetes, Containerization and Cloud models – IaaS, PaaS, SaaS, Infrastructure virtualization All profiles will be reviewed against the required skills and experience. Due More ❯

Senior or Lead data engineer Experience handling large datasets, complex data pipelines, big data processing frameworks and technologies AWS or Azure cloud experience Experience with data modelling, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering skills in Azure Databricks and Microsoft … robust, scalable, and aligned data solutions for delivering high-quality care. The ideal candidate will lead the design and execution of cloud-based based scalable data storage solutions, oversee ETL pipeline development and optimisation, establish and manage data schemes and dictionaries, develop data integration solutions, lead data cleansing, validation, and enrichment processes. Duties include: Working closely with analysts and software … days per week in the office). To apply, press apply now or send your CV to Keywords: Lead Data Engineer/Azure Databricks/AWS/ETL/Python/data modelling Flexible working - Preston - Blackpool - Manchester - Warrington - Liverpool - Bolton - Blackburn Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus More ❯

Collaborate with architecture and product teams to deliver high-quality software at pace Refactor and re-platform legacy data centric components into modern, cloud-first services Data Engineering Drive ETL development, data ingestion, and transformation pipelines Improve database performance and optimise slow-running queries across large datasets Introduce automation and quality improvements to database change processes Required Skills and Experience … applications with complex data backends · Strong problem-solving ability and ownership mindset · Passion for knowledge sharing and mentoring others Desirable · Experience with Azure services (App Services, Functions, Service Bus) · ETL pipeline development using Azure Data Factory · Exposure to DataBricks, Synapse or Spark · Experience working within event-driven architectures · Understanding of DevOps, IaC (Terraform/Bicep), Observability We’re looking for More ❯

Essential: Proven experience in data analysis, reporting or business intelligence, preferably within manufacturing. Proficiency with Excel, SQL, Power BI or Tableau) Strong ability to interpret complex data sets and extract meaningful business insight. Excellent attention to detail and focus on data quality and integrity. Effective communicator: able to explain data trends and insights to non-technical stakeholders. Comfortable working cross … functionally with department managers and senior leadership. Desirable: Experience in manufacturing or sales operations context. Prior experience building dashboards or automated reporting solutions. Knowledge of data migration, ETL or data-warehouse concepts. Understanding of best practice data governance, data-stream design and monitoring. 📍 Wigan - Hybrid working 3 days per weeks on site 💰 £30,000 - £40,000 DOE + Benefits Please More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

data engineer/Data Engineering Manager with some management experience Experience handling large datasets, complex data pipelines, big data processing frameworks and technologies Experience with data modelling, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering skills in Azure Databricks and Microsoft … robust, scalable, and aligned data solutions for delivering high-quality care. The ideal candidate will lead the design and execution of cloud-based based scalable data storage solutions, oversee ETL pipeline development and optimisation, establish and manage data schemas and dictionaries, develop data integration solutions, and lead data cleansing, validation, and enrichment processes. Duties include: Working closely with analysts and … working (2 - 3 days per week in the office). To apply, press apply now or send your CV to Keywords: Head of Data Engineering/Azure Databricks/ETL/Python/data modelling Flexible working - Preston - Blackpool - Manchester - Warrington - Liverpool - Bolton - Blackburn Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a 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 ❯

Full Stack Software Engineer (Backend & Data Focus) AWS | Node | Data Pipelines | ETL | TypeScript North West/Hybrid – 2 Days in Office £45,000 - £55,000 AWS | Node | Data Pipelines | ETL | TypeScript The Client We’re partnered with a high-growth technology company who are reshaping how digital experiences are delivered at scale. Their award-winning SaaS platform powers the online … Software Engineer within a SaaS, PaaS, or data-intensive environment Strong experience with AWS cloud technologies (Kinesis, Glue, S3, RDS, Lambda) Node.js or TypeScript for backend development Understanding of ETL , data ingestion , and storage best practices Experience with relational and non-relational databases (PostgreSQL, DynamoDB, MongoDB) Strong communicator with experience working in Agile teams AWS | Node | Data Pipelines | Typescript The More ❯