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Senior Engineer - Python, AWS, Snowflake

Location: London (Hybrid - 3 days in office)
Salary: Up to £140,000
Type: Permanent

A leading trading firm is seeking a Senior Engineer to join their team and help rebuild a critical analytics platform. This is a high-impact role working directly with commercial and trading teams to deliver modern, cloud-native solutions.

You'll be part of a global technology team. The focus is on engineering visualisation and analytics interfaces. You'll help refactor legacy models into Python, build reusable analytics components, and develop dashboards and reporting tools that support trading decisions.

Key Responsibilities:

• Engineer and optimise trading processes and analytical models
• Build Python-based services and APIs using modern frameworks
• Design cloud-native tools for supply/demand modelling and market data analysis
• Collaborate closely with traders and technical teams to deliver impactful solutions

What You'll Bring:

• Strong Python and SQL expertise
• Experience with AWS and Snowflake
• Familiarity with Docker/Kubernetes, CI/CD, and Linux
• Background in trading is highly desirable
• Ability to communicate effectively with both technical and commercial stakeholders

Benefits:

• Up to 30% bonus
• Hybrid working (3 days onsite)
• Continued learning and development
• And more.

Senior Snowflake Data Engineer - Remote - £competitive

About the Role
We are looking for an experienced Senior Snowflake Data Engineer to join a dynamic team working on cutting-edge data solutions. This is an exciting opportunity to design, build, and optimise high-performance data pipelines using Snowflake, dbt, and modern engineering practices. If you are passionate about data engineering, test-driven development, and cloud technologies, we'd love to hear from you.



Key Responsibilities

• Design, develop, and optimise scalable data pipelines in Snowflake.
• Build and maintain dbt models with robust testing and documentation.
• Apply test-driven development principles for data quality and schema validation.
• Optimise pipelines to reduce processing time and compute costs.
• Develop modular, reusable transformations using SQL and Python.
• Implement CI/CD pipelines and manage deployments via Git.
• Automate workflows using orchestration tools such as Airflow or dbt Cloud.
• Configure and optimise Snowflake warehouses for performance and cost efficiency.

Required Skills & Experience

• 7+ years in data engineering roles.
• 3+ years hands-on experience with Snowflake.
• 2+ years production experience with dbt (mandatory).
• Advanced SQL and strong Python programming skills.
• Experience with Git, CI/CD, and DevOps practices.
• Familiarity with ETL/ELT tools and cloud platforms (AWS, Azure).
• Knowledge of Snowflake features such as Snowpipe, streams, tasks, and query optimisation.

Preferred Qualifications

• Snowflake certifications (SnowPro Core or Advanced).
• Experience with dbt Cloud and custom macros.
• Exposure to real-time streaming (Kafka, Kinesis).
• Familiarity with data observability tools and BI integrations (Tableau, Power BI).

What We Offer

• Opportunity to work with modern data technologies and large-scale architectures.
• Professional development and certification support.
• Collaborative, engineering-focused culture.
• Competitive salary and benefits package.

Interested?
Apply now with your CV highlighting your Snowflake, dbt, and DevOps experience.

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

Data Engineer - Remote-First - UK-Based - Up to £50,000

Are you a passionate Data Engineer looking to make a real impact in a fast-growing, values-driven tech company? We're working with a leading Microsoft Cloud specialist that's renowned for its inclusive culture, commitment to excellence, and collaborative ethos.

This is a fantastic opportunity to join a high-performing agile team where your strengths will be recognised and nurtured. You'll be hands-on with cutting-edge Azure technologies, helping clients unlock the full potential of their data.

Work Style: Remote-first with occasional travel to client sites and company events
Location: UK-based
Employment Type: Permanent, Full-Time

What You'll Be Doing

• Delivering full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation
• Leading client workshops and translating business needs into technical solutions
• Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory)
• Building data lakes with medallion architecture
• Migrating legacy on-prem data systems to the cloud
• Creating impactful dashboards and reports using Power BI
• Supporting and evolving data solutions post-deployment

Requirements:

• Proven experience in Data Engineering or Data Warehouse Development
• Strong hands-on skills with Azure data tools and SQL/Python
• Knowledge of medallion lakehouse design and large-scale data integration
• Experience with Power BI, SSIS, SSAS, SSRS, and data modelling
• Ability to write complex queries, stored procedures, and notebooks
• Exposure to MDX/DAX and BI concepts
• A collaborative mindset and strong communication skills

Benefits:

• Competitive salary
• 25 days holiday + monthly home working allowance
• Private health insurance (after 1 year)
• Enhanced parental leave and life assurance
• Access to 24/7 GP and Employee Assistance Programme
• Perks including Perkbox, CycleScheme, and electric car scheme
• A chance to work for a World Class Best Company
• Remote Working

Data Solutions Lead - Pre-Sales - Permanent - £95k - London Hybrid

A global data consultancy is seeking a Data Solutions Lead to drive pre-sales and solutioning for modern data platforms. This Senior Manager-level role is ideal for someone who thrives in client-facing environments and understands cloud transformation.

Location: London (Hybrid)

Start: Immediate / ASAP

Key Focus:

• Lead RFP/RFI responses and shape data platform proposals.
• Collaborate across sales, architecture, and delivery teams.
• Translate technical solutions into business value.

You'll Need:

• Pre-sales/consulting background with cloud platform expertise (Azure/AWS/GCP).
• Strong stakeholder engagement and proposal leadership.
• Experience in data governance and enterprise architecture.

Head of Data Engineering - Azure & Databricks - Remote - Up to £100,000

A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital transformation, this company offers an exciting environment for technical leaders to make a real impact.

Key Responsibilities:

• Lead and mentor a team of data engineers, fostering a culture of innovation and excellence.
• Architect and implement scalable data solutions using the Azure tech stack and Databricks.
• Collaborate with cross-functional teams to align data initiatives with business goals.
• Maintain hands-on involvement in technical delivery where needed, ensuring best practices are followed.

Requirements:

• Proven experience in leading data engineering teams.
• Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks.
• Comfortable balancing strategic leadership with occasional hands-on technical work.
• Excellent stakeholder management and communication skills.

Benefits:

• Competitive salary up to £100,000.
• Opportunity to shape the data landscape of a forward-thinking organisation.
• Discretionary Bonus.
• And more.

Senior Data Engineer

Location: Manchester
Salary: Up to £105,000 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 £105K 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.

Databricks Data Engineer London | Senior Manager | Up to £100K + Bonus

Ready to take your data engineering career to the next level?
Join a global consultancy on a major transformation project within the insurance domain. This is your chance to work with cutting-edge technologies, influence strategic decisions, and make a real impact in a collaborative, forward-thinking environment.



Why This Role?

• Be part of a high-profile project driving innovation in data and analytics.
• Work with a global leader in digital transformation.
• Enjoy senior-level responsibilities, clear progression, and exposure to decision-makers.
• Competitive package: Up to £100K base + 12% bonus + benefits.
• Hybrid role based in London.

What You'll Do

• Design and develop data pipelines and transformation workflows using Azure Databricks.
• Collaborate with cross-functional teams to deliver data-driven solutions.
• Work on cloud-based data storage and processing platforms.
• Contribute to strategic decision-making and innovation in the insurance domain.

What We're Looking For

• Proven Data Engineer with 5+ years of hands-on Databricks experience.
• Insurance domain expertise - essential.
• Strong background in data management, ETL, and SQL.
• Familiarity with Azure and Microsoft BI tools.
• Immediate start
• No VISA sponsorship.

This is more than a job - it's a chance to shape the future of data engineering.
Apply today and join a team where your ideas matter!