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Für ein wachsendes Unternehmen im Norden Deutschlands suche ich einen Data Engineer (m/w/d) mit Fokus auf Microsoft Fabric. Die Rolle bietet viel Gestaltungsspielraum beim Aufbau einer modernen Datenplattform.

Data Engineer (m/w/d) - Microsoft Fabric

Aufgaben

* Aufbau und Weiterentwicklung einer neuen Microsoft-Fabric-Datenplattform
* Konzeption und Implementierung von ETL/ELT-Prozessen (Data Factory, Dataflows, Notebooks)
* Entwicklung von Lakehouse-Strukturen, Delta-Tabellen und Medallion-Architekturen
* Migration einer bestehenden DWH-Landschaft in Microsoft Fabric
* Performance-Optimierung von Pipelines, Spark-Jobs und Warehouse-Abfragen
* Abstimmung mit Fachbereichen zu Datenmodellen und Reporting-Anforderungen
* Dokumentation sowie Unterstützung im 2nd-Level-Support

Anforderungen

* Mehrjährige Erfahrung mit Microsoft Fabric (Data Factory, Lakehouse, Spark, Warehouse)
* Sehr gute SQL-Kenntnisse und Erfahrung in Datenmodellierung
* Erfahrung im Aufbau oder in der Weiterentwicklung von Data-Warehouse-/Datenplattformen
* Kenntnisse gängiger ETL-/ELT-Design-Patterns und Best Practices
* Strukturierte, lösungsorientierte Arbeitsweise
* Deutsch und Englisch in Projektumgebung

Nice to have

* Erfahrung mit SSIS oder klassischen MSSQL-DWH-Umgebungen
* Power BI / SSRS Kenntnisse

Rahmenbedingungen

* Modernes, wachsendes Unternehmensumfeld mit Gestaltungsspielraum
* Flexible Arbeitszeiten & Homeoffice-Möglichkeit
* Individuelle Weiterbildungsangebote
* Attraktives Gesamtpaket inkl. zusätzlicher Benefits
* Standort: Deutschland (Großstadt), hybrides Arbeiten möglich

Bewerbung:

Um Dich auf diese Stelle zu bewerben, sende Deinen vollständigen Lebenslauf unter Angabe Deiner Gehaltsvorstellung an f.sarwar@tenthrevolution.com . Bei weiteren Fragen stehen wir Dir auch telefonisch unter 0221 6503 3904 zur Verfügung.

Die Frank Recruitment Group ist einer der globalen Marktführer in der Vermittlung von IT-Spezialisten. Seit 2006 vermitteln wir qualifizierte Fachkräfte für Jobs und Projekte an Unternehmen aller Art und Größe. Vom Start-Up, das einen Entwickler braucht, bis hin zu internationalen Unternehmen, die ein komplettes Team an einem neuen Standort aufbauen - wir sind der passende Ansprechpartner.

Wir sind Teil der Tenth Revolution Group und verbunden mit dem Unternehmen TPG Growth, zu dem Marken wie Uber, Airbnb, Survey Monkey und Spotify gehören.

Impressum - https://www.frankgroup.com/de/impressum/

The Role

We are hiring a Senior Data Platform Engineer to help build and scale a cloud-based data platform in a highly regulated environment.

The organisation is partway through its migration to Azure, with production workloads already in place. The focus now is not strategy or architecture it's execution: building reliable, production-grade data platforms that will underpin future data and AI capabilities.

This role is for engineers who have actually built platforms within azure databricks, not just contributed to them or designed them at a high level.

You will be working in a low-risk environment, where data security, governance, and cost control are critical. The expectation is that you can deliver within those constraints, not work around them.

Responsibilities

* Building and operating Azure Databricks-based data platforms used in production
* Developing end-to-end data pipelines using Python and SQL
* Configuring and optimising Databricks environments, including:

* Cluster setup, tuning, and troubleshooting
* Job orchestration and scheduling
* Managing performance vs cost trade-offs

* Implementing data transformation and modelling workflows (dbt or similar)
* Owning platform components from initial build through to production support
* Ensuring data platforms meet strict security, governance, and risk requirements
* Contributing to ongoing cloud migration and platform modernisation work

Required Experience

* Strong, hands-on experience building Azure Databricks data platforms from scratch
* Proven track record delivering and supporting production-grade data pipelines
* Solid experience with:

* Azure
* Azure Databricks
* Python
* SQL

* Experience working with data at scale (not just small or isolated datasets)
* Background in regulated or enterprise environments with governance constraints
* Comfortable working in cost-sensitive environments where efficiency matters

Nice to Have

* Hands-on experience with dbt in production
* Experience in financial services or similar regulated industries
* Exposure to cloud migration programmes
* Experience optimising Databricks for performance and cost

Why This Role

* Opportunity to build real, production data platforms, not just prototypes
* Direct impact on a platform that will enable future AI and data capabilities
* Work in an environment where engineering quality, security, and reliability actually matter
* Join a team that values delivery over theory

Head of AI

Type: Permanent

The Opportunity

A global professional services organisation is seeking an AI Capability Leader to design and scale its AI learning and community strategy. This senior role focuses on building practical, market-aligned AI capability while supporting enterprise clients and internal go-to-market activity.

The Role

You will lead the design and evolution of AI learning pathways aligned to current and emerging market needs, working across areas such as GenAI, machine learning, data science, and AI engineering. Partnering closely with commercial and delivery teams, you'll ensure learning programmes are job‑ready, commercially relevant, and aligned to wider business goals.

You will also build and grow a global AI community, creating structured engagement and opportunities for collaboration, knowledge sharing, and mentorship. Insights from this ecosystem will directly influence learning outcomes and client-facing solutions.

As a subject matter expert, you'll support AI readiness assessments, client conversations, and AI go‑to‑market initiatives.

Key responsibilities include:

* Designing and curating AI learning pathways aligned to industry demand
* Building and nurturing a global AI practitioner and mentor community
* Supporting AI readiness frameworks and client capability assessments
* Contributing to AI go‑to‑market messaging, thought leadership, and pre‑sales activity



About You

* Background in AI, data, analytics, or related consulting / enablement roles
* Experience delivering AI learning, talent, or capability-building programmes
* Strong understanding of applied AI and GenAI trends
* Comfortable engaging senior stakeholders across technical and commercial teams



Why Apply

This is a high-impact opportunity to influence AI capability at scale within a globally connected organisation at the forefront of AI transformation.

Power BI Manager

Salary: £55,000
Location: Remote (UK‑based)
Type: Permanent



The Opportunity

We are recruiting for a hands‑on Power BI Manager to join a well‑established, founder‑led UK retail business operating a large, geographically dispersed estate.

This is a newly created role with genuine autonomy and impact. The organisation has grown significantly over the past few decades and is now at a key point in its technology journey, requiring a capable, pragmatic IT professional to take ownership of IT operations and work closely with external partners to modernise and integrate systems.

The Role

You will be responsible for end‑to‑end IT ownership across head office and a nationwide store network. This is a hands‑on role rather than a people‑management position.

Key responsibilities include:

* Owning IT infrastructure, applications, and service delivery across HQ and retail sites
* Supporting and developing the Microsoft 365 environment
* Managing on‑premise systems supporting finance
* Working as the conduit between internal stakeholders and external suppliers
* Driving practical improvements in automation, reporting, and system integration
* Ensuring IT issues are resolved quickly to minimise operational and retail disruption



What they're Looking For:

This role will suit someone who enjoys ownership and delivery



Package & Benefits

* Salary £55,000 depending on experience
* Pension
* Staff discount scheme
* Long‑established, financially stable business with strong leadership
* High opportunity to influence and shape the IT landscape
* And more

Data Science Engineer (DV Cleared)

Location: London or Manchester
Security Clearance: DV Cleared
Salary: Up to £80,000

An exciting opportunity has arisen for a Data Science Engineer to support a growing Data Science function within a major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases.

This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders in a highly skilled multidisciplinary environment.



What You'll Be Doing:

* Designing, building and maintaining scalable data processing and integration services
* Supporting Data Science and Machine Learning workloads through well‑engineered software solutions
* Developing high‑quality, testable code using modern engineering practices
* Working within secure cloud‑hosted environments
* Collaborating closely with technical and non‑technical stakeholders



What We're Looking For

Essential:

* Strong interest in data, particularly Data Science and Machine Learning
* Solid software engineering background with experience in Java, Python or TypeScript
* Hands‑on experience with cloud platforms
* DV Clearance in place



Location & Working Pattern:

* Candidates must be aligned to either London or Manchester
* Hybrid working
* On‑site attendance is required to meet client needs





Benefits Package:

* 9% non‑contributory pension
* Private healthcare
* 25 days annual leave
* Life insurance
* And more



If you're a DV‑cleared engineer passionate about data‑driven systems and keen to work on meaningful public sector programmes, this role offers both technical challenge and long‑term development.

Analytics Engineer - Power BI / Fabric

Hybrid - Staffordshire (3 days per week onsite)
Permanent - £45,000

A growing UK analytics consultancy is looking for a talented Analytics Engineer to join its expanding Analytics Practice. This is an opportunity to work end‑to‑end on high‑impact analytics solutions that directly support established organisations in making better, faster, data‑driven decisions.

The Role:

As an Analytics Engineer, you'll play a key role in transforming high‑quality data into trusted, scalable insight products. You will:

* Build and maintain enterprise‑grade Power BI semantic models
* Develop high‑quality Power BI reports, including advanced DAX
* Apply best practices across modelling, performance optimisation, and governance
* Collaborate closely with Data Engineering teams using Microsoft Fabric
* Provide responsive support for analytics products used across the organisation



Requirements:

* Hands-on experience with Power BI (data ingestion, modelling, DAX)
* Strong understanding of data modelling and star schema design
* Proven ability to create efficient, scalable analytical models and performant reports

Nice to have:

* Exposure to Microsoft Fabric
* Experience working with stakeholders to gather requirements
* Knowledge of data visualisation best practice
* Background in consulting or delivery environments



Why Apply:

* Work with modern tools including Microsoft Fabric
* Join a supportive, quality-driven environment
* Contribute to meaningful analytics projects with real societal impact
* Hybrid working with autonomy and room to grow
* Salary up to £45,000

Data Architect - London - £72k

Please note - this role will require you to work from the London based office two days per week. To be eligible for this role you must have the unrestricted right to work in the UK. This organisation does not offer sponsorship.

We are seeking an experienced Data Architect to lead the design, governance and evolution of enterprise and project data architectures across a complex Microsoft Dynamics 365 and downstream medallion architecture environment.

This role is responsible for shaping how data is structured, governed and used across new solutions and enhancements. You will carry out structured analysis of data estates and project requirements, translating these into conceptual and logical data models, glossaries, taxonomies and ontologies. You will also map critical data flows and maintain enterprise data models with clear lineage.

A key part of the role is model governance, version control and quality assurance, including the extension and enforcement of standards and policies using Sparx Enterprise Architect, MDG technologies and scripting.

You will work closely with colleagues at all levels of the organisation, as well as external delivery partners, to ensure data architecture supports business objectives, regulatory responsibilities and user needs.

The role reports to the Enterprise Architect and sits within the Digital Services team, working closely with Data Governance, BI, Technology Services and wider business teams.

Key responsibilities include:

* Lead project-level data architecture through structured Data Architecture Assessments (DAAs)
* Own and evolve enterprise data architecture and model governance via the Data Architecture Framework (DAF)
* Administer the model repository, including version control and quality assurance
* Champion the data architecture "store front", educating, mentoring and promoting the DAF, UML and enterprise data models
* Develop and maintain the Data Architecture Roadmap
* Analyse business and technical requirements against the enterprise architecture landscape and recommend appropriate data solutions
* Produce clear, high‑quality architecture artefacts (documents and diagrams) for business stakeholders, SMEs, analysts, governance teams and engineers

Required experience:

* Strong knowledge of DAMA DMBoK
* Expertise in UML conceptual and logical data modelling
* Deep understanding of Transactional, Kimball and One Big Table (OBT) methodologies and their appropriate use cases
* Proven experience with Sparx Enterprise Architect and MDG technologies
* Degree or postgraduate qualification in IT, Computer Science, Engineering or a related field (or equivalent experience)
* Strong problem-solving skills for complex data and technology challenges
* Ability to explain complex technical concepts clearly to non-technical audiences
* Proven experience working in a data architecture role
* Hands-on delivery of robust, practical data architecture based on business and technical requirements
* Experience designing transitional architectures and addressing security considerations across architecture domains

To apply for this role please submit your CV or contact David Airey on 0191 338 7508 or at d.airey@tenthrevolution.com.

Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

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 Manager - Data Architect (Investment & Wealth) - Up to £95,000

Location: London or Edinburgh (Hybrid)

Overview

A leading global consulting organisation is seeking a Senior Manager - Data Architect to join its Technology & Transformation practice, specialising in Investment Management and Wealth. This is a senior client-facing role for an experienced data leader who is passionate about modern data architecture, investment data, and driving large-scale transformation.

You will work closely with senior stakeholders, lead high-performing teams, and help shape data strategies that improve operating models, enable better decision-making, and deliver measurable business outcomes.



Key Responsibilities:

* Lead the design and delivery of enterprise data strategies and data architecture for complex investment and wealth clients
* Manage multi-disciplinary teams delivering assessments, target-state architectures, and transformation roadmaps
* Identify inefficiencies in existing data architectures and define pragmatic, scalable improvements
* Shape and deliver operating model and data transformation initiatives, from strategy through to implementation
* Lead client workshops to define requirements, design data models, and agree architectural principles
* Engage confidently with C-level and senior stakeholders, translating complex data concepts into clear business value
* Stay close to emerging data technologies and industry trends, applying them to real client challenges



Required Experience:

* Strong background in data architecture and data solution design within consulting or large enterprise environments
* Deep understanding of data management concepts including:

* Data modelling (conceptual, logical, physical)
* Data quality, master & reference data
* Analytics, reporting, and self-service BI

* Experience defining data standards, taxonomies, vocabularies, and a "common language for data"
* Proven leadership experience managing delivery teams and developing junior talent
* Strong industry experience within Investment Management and/or Wealth, e.g.:

* Asset & wealth management products
* Trading, portfolio management, risk, pricing, ESG, market data



Why Join?

* Work on high-impact data transformation programmes for leading financial services organisations
* Operate at the intersection of strategy, architecture, and delivery
* Be part of a collaborative, inclusive environment that values expertise, innovation, and leadership
* Clear progression, strong investment in personal development, and exposure to senior decision-makers
* Flexible hybrid working model with a strong focus on wellbeing and career sustainability

Key Responsibilities

Data Architecture & Strategy

* Define and evolve enterprise data architecture principles, standards, and models
* Develop data strategy and modelling transition roadmaps, including sequencing and dependencies
* Design canonical, domain, and analytical data models, including shared and reference data patterns
* Support federated data operating models with clear ownership and stewardship
* Drive architectural simplification, innovation, and evolution within governed environments

Governance, Risk & Compliance

* Design data architectures that meet regulatory, security, and compliance requirements
* Embed data governance, quality, metadata, lineage, and auditability by design
* Define data classification and control models supporting traceability and regulatory reporting

Cloud & Platform Architecture

* Translate logical and domain data models into physical cloud implementations
* Design schemas, pipelines, and lakehouse/warehouse patterns on modern cloud platforms
* Apply cloud data integration patterns with awareness of governance, lineage, and access control implications

Migration & Delivery

* Define and support data migration strategies, including source‑to‑target mappings and reconciliation
* Enable phased cutover approaches alongside business‑critical delivery
* Work independently across multiple initiatives, prioritising effectively in complex environments

Stakeholder Engagement

* Partner with business and technology stakeholders to capture requirements and define data products
* Communicate complex data concepts clearly to technical and non‑technical audiences
* Articulate modelling trade‑offs and architectural constraints to support informed decisions

Skills & Experience

* Strong experience in enterprise data architecture and information architecture
* Deep understanding of conceptual, logical, and physical data modelling
* Proven experience shaping data strategy aligned to measurable business value
* Knowledge of modern cloud data platforms (e.g. Databricks, Microsoft Fabric, Spark ecosystems)
* Working knowledge of architecture frameworks (e.g. TOGAF) and relevant data standards

Why Join

This is an opportunity to play a pivotal role in shaping enterprise data foundations, influencing strategy, and enabling trusted, compliant, and scalable data platforms.