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Technical Lead - Data - £85,000

Location: UK - Remote
Employment Type: Full-time, Permanent

About the Role
A Microsoft Partnered Consultancy is looking for a Technical Data Team Lead - to join a dynamic, agile team delivering innovative data solutions for clients. This is a hands-on leadership role where you'll mentor technical consultants, oversee project delivery, and contribute to designing scalable data solutions in cloud environments.

Key Responsibilities:

• Lead and mentor a team of technical consultants, driving engagement and growth.
• Manage resource planning, scheduling, and performance development.
• Collaborate with pre-sales and project teams to scope and deliver data projects.
• Support technical delivery, including cloud migrations, data lakes, and ETL/ELT solutions.
• Ensure best practices and standards are consistently applied across projects.

What We're Looking For

• Proven leadership skills and ability to foster a collaborative team culture.
• Strong hands-on experience in Data Engineering or Data Warehouse development using Microsoft/Azure technologies (Fabric, Databricks, Synapse, Data Factory, SQL Server).
• Expertise in ETL/ELT processes, SQL, and Python.
• Knowledge of data lake implementation and medallion lakehouse architecture.
• Solid understanding of BI, data warehousing concepts, and optimization techniques for large-scale solutions.

What's on Offer

• Competitive salary and benefits package.
• Flexible remote working with occasional travel.
• Holiday allowance and home working support.
• Private health insurance, life assurance, and enhanced parental leave.

BI Developer - London - £65,000

Are you passionate about building scalable BI solutions and working with cutting-edge data technologies? We are seeking a BI Developer to join a dynamic team and help shape the future of data analytics within a global organisation.

About the role:

• Design and develop BI solutions using Microsoft Fabric and related technologies.
• Build and manage data pipelines leveraging Data Factory.
• Develop semantic models in Power BI
• Collaborate with data architects, analysts, and stakeholders to deliver actionable insights.
• Optimise data models for performance and reusability.
• Support governance, security, and compliance best practices.

Key Responsibilities

• Deliver scalable Azure-based data platforms, including Data Warehouses and reporting tools.
• Provide technical support and manage a modern technology stack (Azure Synapse, SSIS, SQL, Data Lake).
• Assist with migration and reconciliation of data from legacy systems or acquisitions.
• Act as a hands-on Data Engineer across the full stack.

Requirements:

• Strong expertise in SQL, Power BI, and cloud platforms.
• Experience with Microsoft Fabric
• Excellent communication skills to engage with technical and non-technical teams.

Benefits:

• Work with cutting-edge technologies in a modern data platform environment.
• Be part of a collaborative team driving innovation and insight.
• Competitive salary and benefits package.

Data Engineer - Azure & Databricks - £70,000

Location: Hybrid, London
Employment Type: Full-time

About the Role:
A global leader within their relevant field is looking for an experienced Data Engineer to join a global organization and help deliver innovative data solutions. You'll work on the full data engineering and business intelligence lifecycle, supporting analytics and AI needs across multiple business functions.

Key Responsibilities:

• Design and implement scalable data solutions using Azure Data Services and Databricks
• Develop and maintain data pipelines for automated data collection and integration
• Create and optimize data models and transformations
• Build interactive dashboards and reports using Power BI
• Ensure data quality, integrity, and security across all stages of processing
• Collaborate with cross-functional teams to define requirements and deliver solutions

Requirements:

• Hands-on experience with Azure Data Factory, Databricks, SQL, Data Lake, Power BI
• Strong skills in T-SQL and DAX
• Experience in ETL development, data modelling, and data governance
• Familiarity with CI/CD pipelines and Azure DevOps
• Excellent communication and problem-solving skills

Data Engineer (Azure & Databricks)

Location: London (Hybrid - 2 days in office)
Salary: £65,000 + Benefits
Level: Mid-Level

About the Role:
We're looking for a talented Data Engineer to join a leading consultancy and work on cutting-edge data solutions for global clients. You'll design and build scalable data pipelines using Azure and Databricks, ensuring high-quality, reliable data delivery for advanced analytics and AI initiatives.

Key Responsibilities:

• Develop and optimize data pipelines on Azure and Databricks
• Collaborate with data scientists and analysts to deliver actionable insights
• Implement best practices for data governance and security
• Work in a hybrid setup (2 days per week in our London office)

What We're Looking For:

• Strong experience with Azure Data Services (Data Factory, Synapse, etc.)
• Hands-on expertise with Databricks and Python
• Solid understanding of ETL processes and data modelling
• Excellent problem-solving and communication skills

Benefits:

• Work on high-impact projects with top-tier clients
• Competitive salary of £65,000 plus benefits
• Hybrid flexibility and career development opportunities
• Upskilling opportunities through paid for certifications

If you are a driven and skilled Data Engineer looking to make a significant impact, we encourage you to apply for this exciting opportunity. Your expertise will play a crucial role in shaping innovative data solutions within our team.

Data Engineering Lead - Summary


A leading global construction firm is seeking a Data Engineering Lead to drive the evolution of its hybrid Azure/Databricks data platform. This role is central to building scalable, high-performance data solutions that bridge infrastructure and business intelligence.


Key Responsibilities:
* Design and maintain robust data pipelines for ingestion, transformation, and delivery
* Leverage Azure, Databricks, and Azure Data Factory to integrate and enrich data from diverse sources
* Implement orchestration, monitoring, and error-handling best practices
* Optimize hybrid cloud architecture for performance, scalability, and cost-efficiency
* Lead a team of BI Developers, ensuring timely delivery of dashboards and data products
* Promote adoption of best practices and continuous learning within the team
* Enforce data quality, governance, and security standards


Technical Requirements:
* Deep experience with Azure, SQL, Databricks, Azure Data Factory, and medallion architecture
* Strong ETL design and hybrid cloud integration skills
* Proficiency in Power BI and DAX for dashboard development
* Solid understanding of KPI frameworks and dashboarding tools
* Proven leadership in data analytics or BI, ideally in construction or project delivery environments
* Strong communication and stakeholder engagement abilities


Benefits:
* Competitive bonus, pension, and private medical cover
* Flexible working, generous leave, and wellbeing support
* Career development via a dedicated learning academy



Please send me a copy of your CV if you're interested

Data Engineer | Hybrid | London | Databricks | Azure | 85k

I'm working with a global powerhouse that's been setting the standard for excellence for over 60 years. With more than 1,000 projects delivered worldwide and a combined value exceeding $150 billion, they've earned a reputation as a trusted leader in high-value, complex projects. Today, their 2,500-strong team spans three continents, driving innovation and growth at scale.

What truly makes this company stand out is its people-first culture. They champion respect, inclusion, and genuine care for their employees, backed by a flexible hybrid model that gives you control over which three office days you work each week. This is an organisation where world-class projects meet an environment that prioritises your well-being and career development.

I'm looking for a Data Engineer who thrives on innovation and loves tackling complex data challenges. If building scalable, cloud-based solutions excites you, this is your chance to make a real impact. You'll work with cutting-edge technology and stay at the forefront of the data engineering field.

You'll Work With

• Azure Data Services: Data Factory, Data Lake, SQL
• Databricks: Spark, Delta Lake
• Power BI: Advanced dashboards and analytics
• ETL & Data Modelling: T-SQL, metadata-driven pipelines
• Design and implement scalable Azure-based data solutions
• Build and optimise data pipelines for integration and transformation
• Develop Power BI dashboards for global stakeholders
• Ensure data quality, governance, and security
• Collaborate in an Agile environment with cross-functional teams

Benefits

• Competitive salary up to £85k + 10% discretionary bonus
• 8% non-contributory pension, private medical insurance, virtual GP access
• 25 days annual leave (option to buy more), volunteering day, extra leave with tenure
• Lifestyle perks: dental plans, season ticket loans, discounted gym memberships, cycle-to-work scheme
• A high-performance, high-trust environment with global exposure and flexibility

Key experience

• Hands-on experience with Azure & Databricks
• Strong data engineering and modelling skills
• Proficiency in Power BI, T-SQL, DAX
• Ability to troubleshoot complex data issues and deliver solutions

Interviews are happening now don't wait to take the next step in your career. Apply today and secure your opportunity to join a leading team!

Technical Pre-Sales Lead - Banking - Permanent - SAVP/VP - London Hybrid

We're recruiting for a Technical Pre-Sales Lead to support large-scale banking transformation programmes. This is a senior permanent role (SAVP or VP level) focused on bridging technical and business strategy.

Location: London (Hybrid)
Start: ASAP

Key Focus:

• Lead pre-sales and solution design for banking clients.
• Engage with C-level stakeholders and shape transformation roadmaps.
• Architect cloud/data solutions using Azure, AWS, GCP, Databricks, Snowflake.

You'll Need:

• Vast experience in BI/DW/Analytics, including 4+ years in pre-sales.
• Banking transformation experience (reg reporting, finance/data modernisation).

Strong cloud/data architecture and governance expertise.