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Your Role

As a Senior Databricks Lakehouse Architect (Swedish-Speaking), you will lead the design and evolution of enterprise-grade data platforms built on the modern lakehouse paradigm. This role is tailored for engineers who go beyond standard pipeline development focusing on performance tuning, governance at scale, and advanced Databricks capabilities.

You will act as a technical authority, shaping best practices across data engineering, platform architecture, and machine learning integration within the Databricks ecosystem.



In This Role, You Will

Own end-to-end Lakehouse architecture
Design and implement scalable lakehouse solutions using Databricks, leveraging advanced features such as Delta Live Tables, Unity Catalog, and Photon for high-performance workloads.

Build highly optimized Spark workloads
Develop and fine-tune complex distributed data pipelines using Apache Spark, with deep focus on query optimisation, partitioning strategies, and cost efficiency.

Implement advanced data governance and security
Drive enterprise-grade governance using Unity Catalog, data lineage, fine-grained access control, and compliance frameworks across Azure environments.

Engineer real-time and batch data solutions
Design streaming architectures (Structured Streaming, Auto Loader) alongside batch processing pipelines for large-scale, mission-critical data sets.

Lead ML and MLOps integration
Operational machine learning models using Databricks ML, MLflow, and CI/CD pipelines-ensuring reproducibility, monitoring, and life cycle management.

Act as a technical mentor and stakeholder partner
Collaborate with senior stakeholders, data scientists, and platform teams while mentoring engineers and setting engineering standards.



Your Profile

* Extensive hands-on experience in Data Engineering, with a strong focus on Databricks-based platforms
* Deep expertise in:

* Advanced Databricks Lakehouse architecture
* Delta Lake internals (transaction logs, optimisation, Z-ordering, vacuum strategies)
* Performance tuning in Spark (Catalyst optimiser, execution plans, memory management)

* Proven experience with Azure Data Lake Storage, Azure Data Factory, and broader Azure ecosystem
* Strong programming skills in Python and SQL, with production-grade pipeline development experience
* Hands-on experience with MLflow, feature stores, and MLOps practices
* Experience implementing data governance frameworks and working with regulated data environments
* Fluent Swedish (spoken and written) - essential for collaboration with local stakeholders



What Sets You Apart (Essesntial)

* Experience with Unity Catalog at scale across multiple workspaces
* Deep understanding of cost optimization in Databricks (cluster policies, spot instances, workload isolation)
* Experience with Delta Sharing and cross-platform data collaboration
* Building medallion architecture (Bronze/Silver/Gold) at enterprise scale
* Familiarity with infrastructure-as-code (Terraform) for Databricks deployments
* Exposure to real-time analytics and event-driven architectures

Senior Technical Application Support Specialist - Creating an impact in Fintech - Up to £70k

I'm currently working with a top Insurance broker in the London Market to appoint a Senior Technical Support Specialist as part of their expanding technology team. This is a key role, offering the chance to join a well-established setup and play a significant role in shaping future support, automation and AI capabilities.

The Role:
- Provide senior-level application support across a suite of business-critical platforms
- Own and triage incidents, problems, and service requests, ensuring high-quality resolution
- Support and maintain system integration's across multiple internal and external platforms
- Act as a technical escalation point within the team and provide cover for leadership when required
- Engage with senior stakeholders across the business in a professional, corporate environment
- Identify opportunities to improve systems, processes, and support capability
- Explore and champion emerging technologies, especially in AI and automation (e.g. Copilot, Google Cloud-based tools)
- Contribute to ongoing initiatives around AI adoption, including internal tooling and platforms

Experience:
- Strong in application support at a senior level
- Proven experience supporting integrated systems environments (APIs, middleware, or similar)
- Experience in a professional services or corporate environment, supporting senior stakeholders
- Google Cloud platform experience
- Strong communication skills
- Experience working in an accelerated and professional environment

Why Apply?
- Work in a forward-thinking technology environment with active investment in AI (including internal tools and hundreds of active users)
- Opportunity to influence how new technologies are adopted and used
- Join a cooperative, high-performing team with strong leadership
- Fast-moving hiring process with quick decision-making
- Competitive package including £70k base plus bonus

All candidates must be based in or around London, UK, and be comfortable travelling on-site a minimum of 3 days per week.
To be eligible for this role you must have the full, unrestricted right to work in the UK, this organisation is not able to offer sponsorship.

Data Analyst - On-Site Role - £40k

A globally-expanding company is hiring a permanent Data Analyst to partake in a growing team. The business has scaled rapidly to around 25 employees and now process tens of millions per year in subscription revenue.

Who you'll work with:
- A founder-level hiring manager
- Senior stakeholders in finance and operations
- A family-like, up and coming commercial team

Key Responsibilities
- Develop comprehensive reports and visual aids using raw data to closely monitor and track KPIs.
- Turning large data sets into meaningful insights that drive business decisions.
- Perform data mining using Google BigQuery to uncover insights.
- Investigate operational requirements, identify problems and opportunities, and propose effective business solutions.
- Identify trends, issues and recommend changes to improve performance.
- Collaborate with various departments, such as Finance and Marketing.

Skills & Experience
- 3+ year as an analyst or in a similar analytical role
- Experience in writing queries using SQL/Google BigQuery
- Advanced knowledge of MS Excel and Google Sheets
- Experience in large datasets

What the offer
- Base salary of £40k
- Cooperative team
- Chances to own something
- Progression opportunities

Interested? Send your CV in now or apply directly!

Data & AI Engineer - Up to £50,000

Location: Newcastle - Hybrid
Security Clearance: UK SC eligibility required

The Opportunity

We are supporting a leading organisation within the Technology and Data space that deliver technology-enabled transformations. This team specialises in building modern, data-driven solutions that enable better decision-making, automation, and innovation.

This role is ideal for a Data Engineer or AI Engineer who enjoys working across the full data lifecycle and wants to build practical, scalable solutions using modern data and AI technologies.



The Role

As a Data & AI Engineer, you will design, build and maintain data pipelines, analytical platforms and AI-enabled capabilities that support business-critical use cases. You will work closely with analysts, engineers, and stakeholders to translate requirements into robust, production-ready solutions.

Key responsibilities:

* Designing and building scalable data pipelines, datasets, and data models
* Integrating data from multiple structured and unstructured sources
* Developing advanced analytics, machine learning and AI solutions where appropriate
* Building Generative AI solutions using large language models and prompt/context engineering
* Ensuring data quality, reliability, and performance through testing and monitoring
* Optimising data and model performance for scale and efficiency

Required Experience & Skills

* Proven experience in a Data Engineer, Data Developer, AI Engineer or similar role
* Strong programming skills in Python and SQL
* Experience building and maintaining data pipelines
* Exposure to cloud data platforms, data warehouses, or big data technologies
* Strong analytical and problem-solving skills
* Ability to communicate technical concepts to non-technical stakeholders

Security & Compliance:

* Appointment to this role is subject to eligibility for and successful attainment of UK Security Check (SC) clearance

Working Model:

* Hybrid working with a Newcastle base

Why Apply?

* Work on high-impact, enterprise-scale data and AI initiatives
* Gain exposure to a wide variety of industries and complex systems
* Be part of a cooperative, inclusive engineering culture
* Access structured career development, training and progression opportunities