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Analytics Engineer

Location: London

About the Role:
We are seeking an experienced Analytics Engineer to help design and scale a modern data platform for a global organisation. This role is ideal for someone passionate about building robust data architectures, enabling actionable insights, and driving analytics maturity across the business.

• Enjoy owning the full analytics workflow from raw ingestion to dashboards.
• Value clean, documented, and tested data models.
• Have a product mindset and embrace stakeholder feedback.
• Stay current with modern data tooling and best practices.

Key Responsibilities:

• Design and maintain scalable data warehouse architecture using the Medallion model (Bronze/Silver/Gold layers).
• Build, test, and deploy dbt/dataform models with reusable SQL-based transformations.
• Develop and optimise BI dashboards and data products using Tableau, translating business needs into visual insights.
• Orchestrate and monitor data pipelines, ensuring data quality and timely delivery.
• Implement data quality checks, observability, and maintain data cataloging and lineage.
• Drive CI/CD practices using GitHub Actions or similar tools.
• Collaborate with cross-functional teams to improve platform capabilities and analytics maturity.

Requirements:

• Proven experience in BigQuery and dbt/dataform for data warehousing and transformation.
• Strong SQL skills and understanding of modern data architecture principles.
• Hands-on experience with Tableau for enterprise-grade dashboard development.
• Familiarity with orchestration tools (e.g., Prefect, Airflow), data quality frameworks, and metadata tools.
• Proficiency in Git, CI/CD, and scripting with Python.
• Excellent communication skills and ability to work collaboratively across technical and business teams.

Data Engineer

Remote - Azure - Databricks - up to £80k

I'm working with a client who are a leading Microsoft consultancy that's growing fast and shaping the future of data. They are continuing to grow, driving innovation and help clients accelerate their cloud transformation journeys. With a pipeline of cutting-edge projects, this is your chance to work at the forefront of cloud data engineering and make a real impact.



You'll Work With

• Designing and delivering scalable projects using Databricks, Synapse & Fabric
• Build and optimise ETL/ELT pipelines and data models with SQL & Python
• Create advanced Power BI dashboards for actionable insights
• Implement data lakes and medallion lakehouse architecture
• Ensure data quality, governance & security across all solutions
• Collaborate in an Agile environment with cross-functional teams
• Drive cloud migrations and champion best practices in data engineering

Benefits

• Rapid Growth & Exciting Projects - Work on cutting-edge Microsoft Cloud solutions
• Investment in YOU - Training, certifications & clear career pathways
• Fully Remote - Home-based contract with travel expenses covered
• 25 days holiday
• Private health insurance (after one year)
• Life assurance (4x base salary)
• Enhanced parental pay
• Perkbox, cycle scheme, electric car scheme

Key experience

• Strong background in Azure Synapse, Databricks, and/or Microsoft Fabric
• Expertise in ETL/ELT development using SQL & Python
• Experience with data lakes and large-scale datasets
• Solid understanding of BI & data warehousing concepts

Ready to take the next step in your career? Don't delay, apply now!

Fabric Consultant

Location: Hybrid in London
Salary: Up to £90,000 + Benefits


Are you passionate about data engineering? Join a leading Microosft partnered consultancy delivering cutting-edge solutions with Azure, Power BI, and Microsoft Fabric. This is your chance to work on exciting projects, design robust data architectures, and help organisations unlock the full potential of their data.

Key Responsibilities:

• Build and optimise data pipelines and ETL workflows using Microsoft Fabric and Azure Synapse or Databricks.
• Implement scalable solutions for data ingestion, storage, and transformation.
• Develop clean, reusable Python code for data engineering tasks.
• Research and integrate the latest cloud-based technologies.

Requirements:

• Proven experience in data engineering with Azure tools (Synapse, Data Factory, Databricks).
• Experience with Microsoft Fabric.
• Strong Python programming skills.
• Knowledge of data modelling and Kimball methodology.
• Excellent communication and problem-solving skills.
• Fabric certifications are highly desirable

Benefits:

• Competitive salary and bonus scheme
• Private medical cover, life assurance, and pension.
• Hybrid working.
• And more

Senior Snowflake Data Engineer

Location: Remote UK
Employment Type: Full-time

About the Role
We are looking for an experienced Senior Snowflake Data Engineer to design, build, and optimise data pipelines using modern engineering practices. This role involves working with Snowflake, dbt, and Python, implementing scalable solutions and driving best practices in data engineering and DevOps.

About the role:

• Develop and optimise high-performance data pipelines in Snowflake
• Build modular, reusable dbt models with comprehensive testing and documentation
• Implement test-driven development and data quality checks
• Configure CI/CD pipelines for automated testing and deployment
• Collaborate with cross-functional teams to deliver robust, scalable data solutions

What We're Looking For

• Hands-on experience with Snowflake
• Production experience with dbt (mandatory)
• Strong SQL and Python programming skills
• Experience with Git-based workflows and DevOps practices
• Familiarity with orchestration tools (Airflow, Prefect) and ETL/ELT patterns
• Knowledge of cloud platforms (AWS, Azure) and security best practices

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

Senior Sales Executive - Data & Analytics - Up to £100,000 salary + Commission

Location: London, United Kingdom

About the Role:
A global IT consultancy is looking for an experienced Senior Sales Executive to drive growth across the UK by selling cutting-edge data engineering, analytics, cloud data platforms, and AI-led solutions. This is a dynamic role combining new business development with account growth, ideal for a sales professional who thrives on both hunting and nurturing client relationships.



Key Responsibilities:

• Develop new business opportunities across mid-market and enterprise clients.
• Manage the full sales lifecycle with support from pre-sales and delivery teams.
• Build and maintain a healthy sales pipeline aligned to revenue targets.
• Own and grow assigned accounts through upsell and cross-sell opportunities.
• Engage with senior stakeholders (Heads of Data, Analytics Managers, IT Directors).
• Collaborate with internal teams for solutioning and accurate forecasting.

What We're Looking For:

Essential:

• 5-7 years of B2B sales experience in Data, Analytics, Cloud, or Digital services.
• Proven track record selling consulting or managed services.
• High-level understanding of data engineering, analytics, and cloud platforms (e.g., Snowflake, Databricks, Azure, AWS).
• Strong communication and stakeholder management skills.

Desirable:

• Experience with UK enterprise or mid-market clients.
• Familiarity with pre-sales and offshore delivery models.
• Industry exposure to Insurance, Public Sector, BFSI.

Why Join:

• Opportunity to sell high-demand data and AI services.
• Strong pre-sales and delivery support.
• Clear career growth and learning opportunities.
• Competitive compensation with performance-based incentives.

Lead Engineer

Location: London
Salary: £105,000

Are you an experienced engineer with hands‑on expertise in Python, LLMs, and modern cloud technologies? We're looking for a Lead Engineer to join a high-impact Generative AI feature team, building applications used by thousands of colleagues daily. This is a unique opportunity to drive AI innovation at scale within a highly regulated environment.



About the Role

As a Lead Engineer, you will design, develop, and enhance software solutions using modern engineering practices. You'll act as an SME within the Generative AI domain, shaping technical direction, guiding others, and influencing both strategy and implementation.

You will lead a small team, provide mentorship, conduct code reviews, and drive a culture of technical excellence. This role offers a blend of hands-on engineering, leadership, and strategic input - perfect for someone ready to step into a high-ownership position.



Key Responsibilities:

• Build high‑quality, scalable, maintainable Python-based applications.
• Develop and deploy AI-driven applications, including those using LLMs.
• Collaborate closely with product, design, and engineering teams.
• Contribute to solution design, architecture, and secure coding practices.
• Drive testing best practices and ensure repeatable, reliable deployments.

• Mentor and guide junior engineers; support ongoing capability development.
• Lead technical discussions, code reviews, and cross-functional collaboration.
• Influence decision‑making and contribute to policy/standards.
• Support risk management, governance, and control requirements.

• Contribute to the organisation's Generative AI strategy as a subject matter expert.
• Analyse complex, multi-source data to inform design and decision‑making.
• Communicate complex or sensitive information clearly to senior stakeholders.

Required Experience

To succeed in this role, you should have strong hands-on capability in:

• Python
• Working with Large Language Models (LLMs)
• Cloud technologies, ideally AWS (Bedrock, Lambda, S3, Lex, CloudWatch)
• Prompt optimisation and evaluation methodologies
• Strong communication skills, especially in cross-functional environments
• Mentoring, coaching, or guiding other engineers

Data Engineer - London - Databricks - Azure - 75k + bonus + benefits


Tech Stack: Azure | Databricks | Power BI | Python

Are you ready to shape the future of data? We're looking for a Data Engineer to join a team that thrives on innovation and cutting-edge technology. If you love solving complex data challenges and building scalable solutions, this is your chance to make an impact.

What You'll Work With

• Azure Data Services: Data Factory, Data Lake, SQL
• Databricks: Spark, Delta Lake
• Power BI: Advanced dashboards
• ETL & Data Modelling: T-SQL, metadata-driven pipelines
• DevOps: CI/CD
• Bonus: Python

What you'll do

• Design and implement scalable Azure-based data solutions
• Build and optimize 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

What We're Looking For

• 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

Benefits

• Competitive salary + bonus
• Pension, private medical, flexible benefits
• 25 days holiday + buy more options
• High-trust, high-performance culture

If you love working with modern data platforms and want to make an impact, apply today.

Senior Data Engineer

Location: Manchester
Salary: Up to £100,000 and bonus

We are seeking an experienced Data Engineer with expertise in Databricks to join a global consultancy on a major transformation project. This is a fantastic opportunity to work on cutting-edge data solutions in a collaborative, forward-thinking environment.

About the role:

• Work with a global leader in analytics and digital transformation.
• Be part of a high-impact project driving innovation in the insurance domain.
• Enjoy a senior-level role with clear progression opportunities and exposure to strategic decision-making.
• Competitive package: Up to £100K base + bonus, plus other benefits.

What We're Looking For

• Proven experience as a Data Engineer.
• Strong hands-on expertise with Databricks.
• Insurance domain experience.
• Solid background in data management.