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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!

Unlock your potential as an AV

AI 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

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

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

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.

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.

Technical Product Owner (AI & Digital Solutions) - Up to £115,000

Location: London, United Kingdom (Hybrid)

About the Role:
My client is seeking a Technical Product Owner at VP level to lead the evolution of digital and AI-driven solutions. This role is pivotal in shaping next-generation AI-powered conversational platforms, driving innovation, and delivering exceptional customer experiences. You will collaborate with cross-functional teams, influence technical direction, and ensure alignment with strategic priorities.



Key Responsibilities:

• Define and deliver the technical product vision and roadmap in line with business objectives.
• Collaborate with product owners, technical teams, and stakeholders to prioritise requirements and features.
• Drive continuous improvement through testing, performance monitoring, and optimisation.
• Stay ahead of industry trends to adopt innovative technologies and approaches.
• Manage risk and strengthen controls in alignment with governance standards.
• Build strong relationships across internal and external stakeholders to achieve key business outcomes.

What They're Looking For:

• Proven experience in technical product management with a strategic mindset.
• Strong background in NLP-based products and AI-driven solutions.
• Ability to lead cross-functional teams and influence at senior levels.

Highly Valued Skills:

• Understanding of APIs and microservices architecture.
• Knowledge of data analytics, Generative AI, and LLMs.
• Strong business acumen and risk management capabilities.

Why Join:

• Opportunity to lead AI innovation and shape digital transformation.
• Work in a dynamic environment with cutting-edge technology.
• Competitive compensation and clear career progression.

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!