They require an experienced engineer with extensive experience in building and maintaining Data Lakehouses in Azure. The ideal candidate will have a strong background in both Scala and Python programming, with specific experience building high performance and scalable pipelines in Databricks with Spark.

The new data platform will serve a range of end users in the Capital Markets division, so experience across areas such as derivatives, risk, PnL, trade lifecycle, market data are highly desired. 

Key Responsibilities:

• Engineer robust, scalable and efficient data pipelines using Spark/Databricks 
• Demonstrate best practices in the design & development of data pipelines
• Data modelling on medallion architecture, ensuring schema is intuitive and serves business users analytical and reporting objectives

What you’ll need:

• Expert in building data pipelines in Databricks with Spark (preferably on Azure)
• Financial Services sector knowledge (ideally covering trading, derivatives, risk and trade-lifecycle)
• Expert level programming in Python (plus Scala is highly desired)
• Expert data modelling experience on medallion architecture

Hybrid model: 1 day per week in City of London

Duration: 12 months

IR35 – Outside

Start date: April 206

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La Fosse are recruiting an experienced Data Engineering & Infrastructure Lead (Manager) to join a major consumer brand on an initial 6-month contract. This is a high-impact role leading a highly-skilled team of data professionals across engineering and data platform disciplines, delering a range of critical data initiatives for the business.

The role requires 1 day per week on-site in Manchester and the remainder remote.

The role: You’ll take ownership of delivering key data engineering and data platform initiatives while providing technical leadership across a sizeable engineering function. This includes ensuring the stability, scalability, and 24/7 operation of a production data environment.

Key Responsibilities

• Lead and manage a multi-disciplinary data team, including a Data Engineers and Data Platform Engineers
• Ensure high-quality, timely delivery across all data engineering activities
• Collaborate with project managers, delivery leads, and business stakeholders to align with priorities
• Oversee delivery of major initiatives, including:
• Database upgrade/migration 
• Lakehouse Analytics Platform build and ongoing operation

• Contribute to portfolio planning, representing team capacity and technical direction
• Define and implement engineering standards and operational processes
• Own and manage the backlog for data platform engineering work

Key Skills & Experience

• Expertise in MS SQL Server, AWS EC2, and Snowflake
• Strong working knowledge of modern data technology, preferabely Airflow, SSIS, dbt, and Azure DevOps or Jira
• Proven experience leading and scaling technical teams
• Strong stakeholder management and delivery oversight skills

This is a fantastic opportunity to shape and deliver large-scale data initiatives within a well-established, dynamic and fast-moving organisation.

Start date: April 2026 

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Outside IR35 | £500-550/day | Milton Keynes  | Hybrid | Initial 5 Months

We have a new Senior Data Engineer contract opportunity with a global leading client with offices in Milton Keynes.

You’ll join a high-impact team focused on rebuilding and optimising data pipelines into a Databricks Lakehouse environment, enabling clean, scalable, and high-quality data delivery for analytics and reporting.

This is outside IR35, requires 1 day per week on-site, and offers an initial 5-month contract with an immediate start and strong potential for extension on a greenfield project.

Key Responsibilities

• Design, build, and optimise data pipelines using ELT/ETL best practices.
• Migrate and transform data into a Databricks Lakehouse architecture.
• Ensure data quality, reliability, and scalability for analytics and reporting.
• Collaborate with stakeholders to deliver robust solutions aligned with business needs.
• Support production environments and troubleshoot performance issues.

Ideal Candidate

• 7+ years in Data Engineering with strong experience in cloud-based data platforms.
• Proven ability to design and optimise pipelines for large-scale data processing.
• Hands-on experience with Databricks and Azure.
• Strong stakeholder communication and problem-solving skills.

Tech Stack Required:

• Databricks
• DBT
• Python
• PySpark
• SQL
• Azure

Bonus: Experience in eCommerce environments.

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Outside IR35 | £650-750/day | 2-3 days on-site in London | Initial 3 months | ASAP start

We’re supporting a financial services organisation standing up an entirely new banking data function, building a modern core banking platform using Snowflake.

This is a hands on technical leadership role responsible for architecting, designing, and building the full end to end data platform: ingestion, medallion layers, data warehouse stores, and downstream reporting. You’ll be working across high volume financial data, streaming pipelines, and a modern cloud native stack.

You’ll own the delivery of scalable data foundations, medallion structured financial models, and operational reporting capabilities consumed across the business.

You must be able to operate autonomously and bring deep experience in Snowflake and modern banking data architectures.

You also must be available within the next 2 weeks and willing to go into a Central London office 2-3 days per week.

Key Responsibilities

• Architect and build all core data warehouse layers across Snowflake, including raw, staging, and curated financial domains
• Ingest and model data from a core banking system
• Integrate with an enterprise integration layer and manage streaming ingestion where Snowflake subscribes to event streams
• Implement medallion architecture for financial datasets, ensuring accuracy, lineage, and auditability
• Define data architecture standards, best practices, and governance across a greenfield platform
• Act as the technical lead across the full data lifecycle including design, implementation, optimisation, and roll out

Ideal Candidate

• Strong Snowflake engineering and architecture experience
• Background in banking or financial services data platforms
• Experience working with core banking data
• Demonstrated ability to build streaming ingestion and event driven pipelines
• Comfortable leading end to end implementation on a greenfield platform
• Strong stakeholder communication skills capable of shaping technical decisions and overall data strategy

Tech Requirements: 

• Snowflake
• Core Banking Platform
• Integration Layer such as MuleSoft
• Streaming pipelines
• Medallion Architecture
• AWS storage and hosting
• SQL

If you are interested, please apply below.

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To be suitable, candidates must have substantial experience as a Lead Data Engineer (or similar) with the following technical experience: 

• Engineering with PySpark 
• Azure Databricks
• Agentic AI development
• Test-Driven Development (TDD)
• Led data engineering projects or spearheaded small sized teams 

Initial term: 3 months (high potential for extension) 

1-2 stage remote interview process 

Hybrid working model: 3 days per week in the City of London 

This is an urgent requirement and requires a contractor available to start with 1-2 weeks’ notice. 

If you are a Hands on engineer, Databricks expert and have experience developing Agentic solutions, looking for your next challenge, we encorouge you to apply with your latest CV. 

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The post Senior Analytics Engineer appeared first on La Fosse.

They need a experiecned Data Engineer to develop and enhance data solutions within Databricks. In this role, you will build and optimise scalable ETL pipelines supporting a reporting and analytics platform, integrating data from various enterprise systems. You will ensure data accuracy, performance, and reliability while contributing to continuous improvements in the data platform.

Key responsibilities include designing efficient data workflows, implementing data quality checks (for tools like Power BI) developing data pipleines and models, collaborating with engineering and visualisation teams, and and maintaining data governance standards.

The ideal candidate has:

• Extensive experience working with Databricks, strong SQL and Python skills
• expertise in data modelling and validation
• Experience building and optimising data pipelines
• familiarity with Git-based development practices 

Hybrid Model (2 days per week in Cambridge) 

6 months contract, Inside IR35 via Umbrella 

Start date ASAP. 2 stage Interviews process 

If you fit the required exepreicen and looking for a new challenge and join a fast-past, challending environment, we encoruage you to apply! 

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We have a new contract role for an AI Engineer focused on building cutting-edge AI and ML for a global client of ours in the media industry. This is a really exciting role to join on a long-term engagement as they look to kick off a new project.

Key Responsibilities

• Design and implement AI-driven pipelines for video content analysis and metadata extraction.
• Evaluate and integrate existing AI models (e.g., Google Vertex AI) rather than building from scratch.
• Develop search indexing and retrieval systems for large-scale video content.
• Build and optimize backend processing systems using Python (non-negotiable).
• Deploy solutions on AWS/GCP cloud infrastructure.
• Work with vector databases (FAISS, Pinecone, Milvus, Weaviate) for search.
• Apply ML Ops best practices, CI/CD workflows, and containerization (Docker/Kubernetes).
• Integrate foundation models (LLMs, vision models) via APIs and fine-tuning.

Tech Stack

• Python
• ML libraries: PyTorch, Hugging Face, LangChain
• Cloud platforms: AWS, Google Cloud, Vertex AI
• Vector databases: FAISS, Pinecone, Milvus, Weaviate
• Git, CI/CD, Docker/Kubernetes

Ideal Candidate

• Strong background in Machine Learning, Information Retrieval, and Software Engineering.
• Hands-on experience integrating AI models and building scalable systems.
• Comfortable working with content-heavy data (video experience is a plus).
• Excellent communication and stakeholder engagement skills.
• Bonus: Experience fine-tuning models and taking POCs to production.

If you are UK based and interested please apply directly.

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Location: Essex or Southampton (on-site, parking available)
Salary: £45,000 – £56,000 per annum

The Opportunity

La Fosse is partnering with a leading global logistics organisation on an exciting data transformation project. We’re seeking an experienced Data Developer to join a new three-person data team within Operations, focused on supporting and enhancing Terminal Operating Systems.

This role will play a key part in the company’s migration from QlikView to Microsoft Fabric, helping to design and deliver the next generation of their data environment using Azure technologies.

Key Responsibilities

• Lead and support the QlikView → Microsoft Fabric migration
• Build and maintain ETL processes and data pipelines
• Develop scalable solutions in Azure Data Factory and Microsoft Fabric
• Create insightful Power BI dashboards and visualisations
• Write and optimise SQL queries to support reporting and analytics
• Collaborate across teams to enhance data quality and governance

Key Requirements

• Proven Microsoft Fabric and Azure Data Factory experience
• Strong ETL, data pipeline, and SQL skills
• Expertise in Power BI and data visualisation
• Background as a Data Developer / Data Engineer
• Experience migrating from QlikView (essential)
• Azure certifications beneficial
• Must be able to drive to site if Essex is the closest office (onsite parking available)

About the Organisation

Our client is a global leader in logistics and supply chain innovation, with major UK operations in Essex and Southampton. They’re investing heavily in data and digital technology to deliver smarter, more sustainable solutions!

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London (Hybrid)

£75k – £95k

La Fosse has partnered with an exciting Gaming company to hire a Data Engineer for their UK team. This hybrid role is based in London (1–2 days in office) and offers the opportunity to work on a first-of-its-kind project with huge business impact.

Role Overview:
As the Data Engineer on this project, you will work closely with a cross-functional team of software and data engineers to build large-scale data systems supporting thousands of daily users. You’ll focus on designing, building, and maintaining ETL/ELT pipelines, integrating data from multiple sources into Snowflake and downstream tools, and developing proofs of concept to optimise delivery.

This role provides ownership of technologies and solutions, allowing you to propose and implement innovative approaches while influencing project architecture.

Technical Responsibilities:

• Design, build, and maintain scalable ETL/ELT pipelines.
• Integrate data from external APIs and internal systems into Snowflake.
• Support data aggregation and integration to enable commercial decision-making.
• Propose technical solutions, proofs of concept, and best practices.
• Work with messaging and scheduling tools (e.g., Kafka, Airflow).
• Apply Python and SQL expertise for complex data processing.
• Contribute to IaC/DevOps practices (Terraform, CI/CD pipelines, containerisation).
• Leverage AI tools to improve workflow efficiency and reduce cycle times.

Candidate Profile:

• 4+ years’ experience in Data or Software Engineering, ideally with hands-on experience in data infrastructure.
• Strong expertise in Snowflake (certifications a plus).
• Experience building or maintaining scalable data systems and integrations.
• Strong programming skills in Python and SQL (OOP, not just scripting).
• Experience with ETL/ELT orchestration, data modelling, and cloud-based platforms (AWS preferred).
• Comfortable collaborating with software engineers, analysts, and product managers.
• Proactive problem solver with examples of owning solutions or projects.
• Interested in working in the gaming or sports betting industry.

If you are a technically strong, solutions-focused Data Engineer ready to take ownership and deliver impact, we would love to hear from you. Apply now to join the team!

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Lead Data Engineer – SaaS Start-up

Salary: £90,000 – £115,000 per annum
Location: Hybrid – 3 days per week in the London office

About the role

We are working with a fast-growing, product-driven SaaS start-up looking for a Lead Data Engineer to help shape and scale the data function. This is a great opportunity for a Senior or Principal Data Engineer ready to take on more leadership responsibilities.

Responsibilities

• Lead and mentor a small team of engineers.

• Design, build and optimise data pipelines and integrations.

• Develop scalable solutions to support analytics and product teams.

• Work closely with stakeholders across the business to ensure data is driving value.

Requirements

• Strong experience with AWS (Azure or GCP also considered).

• Proven background in API integration.

• Essential experience with dbt.

• Previous mentoring or leadership experience (does not need to be formal line management).

• Excellent communication skills and ability to work effectively in a fast-paced start-up environment.

Why join?

This role offers the chance to have real ownership within a scaling SaaS business, where your work will directly impact product development and company strategy.

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The need a Python and SQL expert to desing and deploy scalable data soltuions to capture, manage/store and utilize high volumes of structed and unstructured data from various internal and external sources. This person will work with a lot of autonomey, and will need to be able to comfortably work independently, taking owndership of their work. 

12 month initial contract

Circa £500 per day, Inside IR35 

Location: City of London, 2 days per week (Hybrid) 

Skill set required: 

• Expert level (5+ years’ experience) with SQL and Python
• Object Oriented Programming (OOP)
• Familiar with Airflow
• Data processing frameworks (e.g. Spark, Hadoop, Kafka, FluentBit, RabbitMQ)
• Data warehousing solutions (e.g. PostgreSQL, BigQuery)
• Cloud Platforms (e.g. Google Cloud Platform or AWS)
• CI/CD tools (e.g. GitHub Actions, Jenkins)
• Containerization solutions (e.g. Docker and Kubernetes)
• Version control systems (e.g. Git)

Start: Mid October 2025

Only candidate who are UK based are considered at this time. 

If this sounds like the right new challange for you, please apply directly with your latest CV!

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