881 Azure Data jobs in the United Kingdom

Lead Azure Data Engineer

The Lead Azure Data Engineer will play a pivotal role in managing and optimising data solutions within the financial services sector. This position focuses on leveraging Azure-based technologies to support the analytics department in delivering high-performing data solutions.

Client Details

Lead Azure Data Engineer

The organisation is a medium-sized organisation within the financial services industry, known for its focus on innovation and technology-driven solutions. It offers a collaborative environment, fostering growth within the analytics field.

Description

Lead Azure Data Engineer

• Design and implement scalable data solutions using Azure technologies.
• Collaborate with the analytics team to align data architecture with business objectives.
• Develop and maintain robust ETL pipelines for data processing and integration.
• Ensure data security and compliance with industry standards and regulations.
• Monitor and optimise data storage and processing performance within Azure environments.
• Provide technical leadership and mentoring to junior team members.
• Document processes, system designs, and workflows for future reference.
• Stay updated on emerging trends and technologies in data engineering and Azure platforms.

Profile

Lead Azure Data Engineer

You'll be part of a forward-thinking team delivering innovative data solutions that drive business growth. This is your opportunity to shape a modern data platform, mentor talented engineers, and make a real impact on strategic decision-making.

A successful Lead Azure Data Engineer should have:

• Strong experience with Databricks, Azure Synapse, Delta Lake, and pipeline orchestration.
• Hands-on with ETL/ELT processes, data modeling (star schema), SQL, Python, and data governance tools (e.g., Purview, Unity Catalog).
• Experience implementing AI/ML solutions in Databricks or similar platforms.
• Knowledge of data observability, monitoring, and incident management (ITIL best practices).
• Excellent communication and stakeholder management skills.
• Experience in a regulated financial environment is desirable.
• Relevant certifications such as Azure Data Engineer Associate are essential.

Job Offer

Lead Azure Data Engineer

• Competitive salary in the range of 70,000 to 85000 per annum.
• Standard benefits package, including pension and health cover.
• Generous holiday allowance to support work-life balance.
• A permanent role based in London with opportunities for career progression.
• Engagement in cutting-edge projects within the financial services industry.

If you are ready to take the next step in your career as a Lead Azure Data Engineer, we encourage you to apply today.

Lead Azure Data Engineer

The Lead Azure Data Engineer will play a pivotal role in managing and optimising data solutions within the financial services sector. This position focuses on leveraging Azure-based technologies to support the analytics department in delivering high-performing data solutions.

Client Details

Lead Azure Data Engineer

The organisation is a medium-sized organisation within the financial services industry, known for its focus on innovation and technology-driven solutions. It offers a collaborative environment, fostering growth within the analytics field.

Description

Lead Azure Data Engineer

• Design and implement scalable data solutions using Azure technologies.
• Collaborate with the analytics team to align data architecture with business objectives.
• Develop and maintain robust ETL pipelines for data processing and integration.
• Ensure data security and compliance with industry standards and regulations.
• Monitor and optimise data storage and processing performance within Azure environments.
• Provide technical leadership and mentoring to junior team members.
• Document processes, system designs, and workflows for future reference.
• Stay updated on emerging trends and technologies in data engineering and Azure platforms.

Profile

Lead Azure Data Engineer

You'll be part of a forward-thinking team delivering innovative data solutions that drive business growth. This is your opportunity to shape a modern data platform, mentor talented engineers, and make a real impact on strategic decision-making.

A successful Lead Azure Data Engineer should have:

• Strong experience with Databricks, Azure Synapse, Delta Lake, and pipeline orchestration.
• Hands-on with ETL/ELT processes, data modeling (star schema), SQL, Python, and data governance tools (e.g., Purview, Unity Catalog).
• Experience implementing AI/ML solutions in Databricks or similar platforms.
• Knowledge of data observability, monitoring, and incident management (ITIL best practices).
• Excellent communication and stakeholder management skills.
• Experience in a regulated financial environment is desirable.
• Relevant certifications such as Azure Data Engineer Associate are essential.

Job Offer

Lead Azure Data Engineer

• Competitive salary in the range of 70,000 to 85000 per annum.
• Standard benefits package, including pension and health cover.
• Generous holiday allowance to support work-life balance.
• A permanent role based in London with opportunities for career progression.
• Engagement in cutting-edge projects within the financial services industry.

If you are ready to take the next step in your career as a Lead Azure Data Engineer, we encourage you to apply today.

Contract Opportunity: Lead Azure Data Engineer (Remote - 500/day Outside IR35)

We're hiring for a Lead Azure Data Engineer to join our team on a hybrid contract based in London, supporting key finance stakeholders and transforming our data platform. This role offers the chance to shape the future of financial reporting through cutting-edge cloud engineering and data architecture.

Location : Central London (UK-based candidates only)
Rate : 500/day
IR35 Status : Outside IR35
Start Date : ASAP - Interviews next week
Duration : 6 months with potential for extension

The Role

You'll lead the design and delivery of scalable data products that support financial analysis and decision-making. Working closely with BI and Analytics teams, you'll help evolve our data warehouse and implement best-in-class engineering practices across Azure.

Key Responsibilities

• Build and enhance ETL/ELT pipelines in Azure Databricks
• Develop facts and dimensions for financial reporting
• Collaborate with cross-functional teams to deliver robust data solutions
• Optimize data workflows for performance and cost-efficiency
• Implement governance and security using Unity Catalog
• Drive automation and CI/CD practices across the data platform
• Explore new technologies to improve data ingestion and self-service

Essential Skills

• Azure Databricks : Expert in Spark (SQL, PySpark), Databricks Workflows
• Data Pipeline Design : Proven experience in scalable ETL/ELT development
• Azure Services : Data Lake, Blob Storage, Synapse
• Data Governance : Unity Catalog, access control, metadata management
• Performance Tuning : Partitioning, caching, Spark job optimization
• Cloud Architecture : Infrastructure-as-code, monitoring, automation
• Finance Domain Knowledge : Experience with financial systems and reporting
• Data Modelling : Kimball methodology, star schemas
• Retail Experience : Preferred but not essential

About the Team

We're a collaborative data function made up of BI Developers and Data Engineers. We work end-to-end on solutions, share knowledge, and support each other's growth. Our culture values curiosity, innovation, and continuous learning.

Interested?

We have limited interview slots next week and aim to fill this role by the end of the month. Please send me a copy of your CV if you meet the requirements

Senior Azure Data Engineer
Birmingham (Hybrid working)
55K - 65K per year - Final salary pension - 30 days AL (plus bank holidays)

We are working in partnership with a leading organisation in that is investing heavily in their data strategy. Our client is building a forward-thinking Data & Analytics team and is looking for a highly capable Business Intelligence Developer / Data Specialist to play a pivotal role in shaping the future of data-driven decision-making across the institution.

This is an exciting opportunity for someone with strong expertise in Azure, ADF, Azure SQL Server, pipelines, ETL, database, Dev-Ops, and Power to contribute to the development of cutting-edge data solutions, influence the organisation's BI strategy, and mentor others in best practices.

• Contribute to the delivery of the organisation's data strategy, supporting projects through the full lifecycle - from requirements gathering through to design, development, testing, and release.

• Lead the implementation of Microsoft Power BI reporting , ensuring solutions align with business needs and future opportunities.

• Develop and maintain system architecture in partnership with chosen data and analytics solution providers.

• Utilise Azure SQL data warehouse and related Azure services to build scalable data solutions and self-service reporting capabilities.

• Ensure appropriate access controls are applied to safeguard data and compliance with governance standards.

• Drive efficiency by identifying opportunities to automate manual processes and reduce reliance on spreadsheets and legacy tools.

• Collaborate with stakeholders to define reporting needs, translating complex requirements into actionable technical specifications.

• Provide expert guidance on data architecture, modelling, and analytics approaches.

• Contribute to policies on data governance and promote best practices across the organisation.

• Mentor junior BI developers and train stakeholders in the effective use of BI tools.

• Maintain awareness of emerging technologies and continuously develop skills to stay at the forefront of data and analytics.

Essential skills and experience:

• Significant expertise in Power BI for data visualisation and reporting.

• Hands-on experience with Azure services (Azure Data Factory, Azure SQL Server).

• Strong understanding of dimensional modelling (e.g., Kimball methodology).

• Proficiency in sourcing, manipulating, and interpreting complex datasets.

• Strong analytical mindset with excellent attention to detail and accuracy.

• Experience managing stakeholders, gathering business requirements, and delivering technical specifications.

• Knowledge of DevOps and agile methodologies in data project delivery.

• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.

• Track record of supporting and training colleagues on new data products and solutions.

Desirable:

• Recognised Microsoft certifications in Azure Fundamentals and Power BI

Please apply asap if interested

Senior Azure Data Engineer - GleeIT

At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.

By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.

Azure Data Engineer - Databricks - Hybrid - Manchester - Up to 65,000

A well-established organisation is seeking a talented Azure Data Engineer to join their growing data team. This is a fantastic opportunity to work on high-impact projects using modern cloud technologies, including Azure and Databricks, in a collaborative and forward-thinking environment.

The Role:

You'll be responsible for designing, building, and maintaining scalable data pipelines and solutions that support business intelligence, analytics, and operational reporting. Working closely with data architects, analysts, and stakeholders, you'll help unlock the value of data across the organisation.

Key Responsibilities:

• Develop and optimise data pipelines using Azure Data Factory, Databricks, and Spark
• Design and implement scalable data solutions in Azure cloud environments
• Collaborate with cross-functional teams to understand data requirements
• Ensure data quality, integrity, and security across platforms
• Support the deployment of machine learning models and advanced analytics
• Monitor 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, Power BI, and Azure DevOps
• Knowledge of data governance, security, and compliance frameworks
• Exposure to machine learning workflows and MLOps
• Relevant certifications (e.g. Microsoft Certified: Azure Data Engineer Associate)

Benefits:

• Competitive salary up to 65,000
• Hybrid working (2 days in Manchester office)
• Pension, private healthcare, and bonus scheme
• Training and certification support
• Inclusive and flexible working culture
• And more

Contract Opportunity: Lead Azure Data Engineer (Remote - 500/day Outside IR35)

We're hiring for a Lead Azure Data Engineer to join our team on a hybrid contract based in London, supporting key finance stakeholders and transforming our data platform. This role offers the chance to shape the future of financial reporting through cutting-edge cloud engineering and data architecture.

Location : Central London (UK-based candidates only)
Rate : 500/day
IR35 Status : Outside IR35
Start Date : ASAP - Interviews next week
Duration : 6 months with potential for extension

The Role

You'll lead the design and delivery of scalable data products that support financial analysis and decision-making. Working closely with BI and Analytics teams, you'll help evolve our data warehouse and implement best-in-class engineering practices across Azure.

Key Responsibilities

• Build and enhance ETL/ELT pipelines in Azure Databricks
• Develop facts and dimensions for financial reporting
• Collaborate with cross-functional teams to deliver robust data solutions
• Optimize data workflows for performance and cost-efficiency
• Implement governance and security using Unity Catalog
• Drive automation and CI/CD practices across the data platform
• Explore new technologies to improve data ingestion and self-service

Essential Skills

• Azure Databricks : Expert in Spark (SQL, PySpark), Databricks Workflows
• Data Pipeline Design : Proven experience in scalable ETL/ELT development
• Azure Services : Data Lake, Blob Storage, Synapse
• Data Governance : Unity Catalog, access control, metadata management
• Performance Tuning : Partitioning, caching, Spark job optimization
• Cloud Architecture : Infrastructure-as-code, monitoring, automation
• Finance Domain Knowledge : Experience with financial systems and reporting
• Data Modelling : Kimball methodology, star schemas
• Retail Experience : Preferred but not essential

About the Team

We're a collaborative data function made up of BI Developers and Data Engineers. We work end-to-end on solutions, share knowledge, and support each other's growth. Our culture values curiosity, innovation, and continuous learning.

Interested?

We have limited interview slots next week and aim to fill this role by the end of the month. Please send me a copy of your CV if you meet the requirements

Azure Data Engineer - Databricks - Hybrid - Manchester - Up to 65,000

A well-established organisation is seeking a talented Azure Data Engineer to join their growing data team. This is a fantastic opportunity to work on high-impact projects using modern cloud technologies, including Azure and Databricks, in a collaborative and forward-thinking environment.

The Role:

You'll be responsible for designing, building, and maintaining scalable data pipelines and solutions that support business intelligence, analytics, and operational reporting. Working closely with data architects, analysts, and stakeholders, you'll help unlock the value of data across the organisation.

Key Responsibilities:

• Develop and optimise data pipelines using Azure Data Factory, Databricks, and Spark
• Design and implement scalable data solutions in Azure cloud environments
• Collaborate with cross-functional teams to understand data requirements
• Ensure data quality, integrity, and security across platforms
• Support the deployment of machine learning models and advanced analytics
• Monitor 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, Power BI, and Azure DevOps
• Knowledge of data governance, security, and compliance frameworks
• Exposure to machine learning workflows and MLOps
• Relevant certifications (e.g. Microsoft Certified: Azure Data Engineer Associate)

Benefits:

• Competitive salary up to 65,000
• Hybrid working (2 days in Manchester office)
• Pension, private healthcare, and bonus scheme
• Training and certification support
• Inclusive and flexible working culture
• And more