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Job Description

I am looking for a Freelance, Finnish-speaking, Azure Data Platform Engineer to take ownership of a modern Azure-based data platform, with a focus on standardisation, security, and operational excellence. This role sits at the platform level, enabling multiple data teams to deliver data products quickly, securely, and consistently.



Key Responsibilities



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Design, build, and evolve a standardised Data Landing Zone / Lakehouse platform in Azure
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Create reusable frameworks, patterns, and "golden paths" to enable uniform ways of working across data teams
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Build metadata- and configuration-driven ingestion frameworks to onboard new data sources efficiently
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Ensure strong security and governance across the platform, including identity and access management (RBAC, managed identities, Key Vault, policies, logging)
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Establish and maintain CI/CD pipelines, deployment patterns, and environment structures (dev/test/prod, multiple domains)
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Own platform operability, including monitoring, incident management, and continuous improvement
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Drive cost transparency and optimisation (FinOps), performance tuning, and resource efficiency
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Support and enable data teams through documentation, templates, onboarding flows, and technical guidance



Required Experience



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Strong hands-on experience with Azure data services such as Synapse Analytics, Azure Data Factory, and ADLS Gen2
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Solid programming skills in Python (and/or C#/.NET) and strong SQL
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Experience with Infrastructure as Code using Bicep and/or Terraform
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CI/CD experience with Azure DevOps Pipelines or GitHub Actions
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Good understanding of Lakehouse architecture, metadata-driven ingestion, and data governance concepts
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Experience implementing secure, reliable platforms using Azure IAM, managed identities, and network controls

Job Description

My customer is seeking an experienced Freelance Azure Data Engineer with Data Architecture experience to design, build, and optimise enterprise-scale data platforms on Microsoft Azure.

This role is hands-on but requires strong architectural ownership - you'll be responsible for shaping data solutions end to end, from ingestion through to analytics and consumption.

Finnish-speaking is mandatory.



Key Responsibilities



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Design and implement scalable Azure-based data architectures
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Build and maintain reliable data pipelines (batch and streaming)
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Lead architectural decisions across data ingestion, storage, and analytics
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Develop data models optimised for performance and analytics use cases
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Ensure best practices around data governance, security, and compliance
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Optimise cost, performance, and reliability of Azure data platforms
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Collaborate closely with engineers, analysts, and business stakeholders



Required Experience



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Strong background as a Data Engineer with architect-level responsibility
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Proven experience designing and delivering data platforms on Microsoft Azure
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Hands-on experience with:

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Azure Data Factory
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Azure Synapse Analytics
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Azure Databricks
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Azure Data Lake (Gen2)

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Strong SQL and data modelling expertise
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Experience with CI/CD and infrastructure-as-code in Azure
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Ability to work independently in a freelance/contract environment



Nice to Have



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Streaming experience (Azure Event Hubs, Kafka)
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Azure Purview / Microsoft Fabric experience
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Terraform or Bicep
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Experience in large enterprise or regulated environments

Data Engineer - Contract

Remote
Inside IR35
5 Month Contract

Must have:

NHS experience
Geospatial experience

Essential Skills

* Establish import/export patterns, including handling data extracts, schema discovery, incremental loads, and multiple source instances
* Expertise in data‑transformation‑heavy pipelines: profiling, cleansing, standardisation, conformance, and publishing
* Advanced SQL, including profiling, joins/merges, deduplication, anomaly detection, and performance tuning
* Python scripting for automation, parsing, rules engines, anddata‑quality checks; ability to write maintainable code

* Experience with Python packages such as Pandas/Polars, scikit‑learn, matplotlib

* Experience with modern data tooling (e.g., Spark, cloud data‑integration tooling) or the ability to implement equivalent functionality in code
* Proven experience with geospatial data, including vector/raster formats, GeoJSON, shapefiles, CRS handling, and spatial‑analysis workflows
* Ability to interpret and apply geographical context in pipelines, including aggregating or translating local/regional geospatial insights into broader‑level datasets
* Experience using publicly available official datasets (e.g., census boundaries, geographic lookups, deprivation indices, population estimates)
* Ability to build rules for completeness/validity/consistency, implement exception handling, and support reconciliation flows
* Ability to build versioned, deterministic pipelines with logging, lineage, and traceability
* Comfortable working in a secure environment with least‑privilege access and handling sensitive datasets

Soft Skills

* Strong communication and collaboration skills
* Ability to work effectively with diverse team members and stakeholders
* Enthusiastic, engaged, and positive attitude
* Proactive, self‑driven, comfortable working without step‑by‑step direction
* Ability to handle ambiguity and changing requirements



Please send cv's to a.otoole@tenthrevolution.com

Data Engineer - Contract
Location: Fully Remote (Occasional half-day on-site optional)
Duration: 3 - 6 months
Day Rate: Outside IR35

We're looking for a hands-on Data Engineer who can do more than just deliver-someone who brings best practice and thinks creatively. This is an opportunity to join a team with a strong people culture, where collaboration and a sense of humor are part of the day-to-day.

Key Responsibilities:

* Design and implement robust data models
* Optimise performance across data pipelines
* Deliver high-quality solutions with a focus on scalability and efficiency
* Provide guidance on best practices and innovative approaches

Tech Stack (Must have) :

* Snowflake
* Matillion

What We're Looking For:

* Strong communicator who can engage with stakeholders confidently
* Ability to work independently in a fully remote setup
* Hands-on delivery experience with a strategic mindset

Interview Process:

* Stage 1: Hiring Manager
* Stage 2: Wider team fit

Please send me a copy of your CV if you're interested

Role - Programme Director - Fintech Greenfield Project

Location - Remote

Start Date - ASAP (interviews this week)

Rate - Market Rates (Outside IR35)

Contract Length - 6 Months initially (Will extended based on good performance)

The role is Outside IR35 & Fully remote



Description:

We've partnered an award winning SME Fintech/Financial Services organisation, searching for a seasoned Programme Director for a fully remote, Greenfield project This is a hands-on leadership role, not advisory, with a strong expectation that you actively shape direction, unblock issues and hold teams and stakeholders to account.

This engagement requires a highly experienced programme leader who can take firm ownership of delivery, governance and senior stakeholder alignment.



What we need from you?
● Proven experience leading large, complex programmes in digital banking, fintech or regulated technology environments
● A strong track record of stabilising delivery-critical programmes under pressure
● Deep experience running senior governance, steering forums and executive stakeholder management
● Commercially astute, with confidence managing contracts, forecasts and delivery trade-offs
● Comfortable operating with authority, making decisions and holding teams to account



Please share your CV if you are interested

Data Platform Engineer - Contract

Clearance: Must be BPSS‑cleared and SC‑eligible
Start Date: Subject to BPSS clearance and onboarding (approx. 5 working days)
Duration: April 2026 - March 2027
Location: UK
Onsite Requirement: None (fully remote)

Summary:

- The production and maintenance of the NDC report - this involves data quality checks and development as the App is an evolving live service
- The development and maintenance of the NHS App data publication
- Support for the NHS App Reporting Dashboard which is the primary source of app data for regions, ICBs and GP practices
- Assurance of briefing requests and stats for ministerial and executive briefings around the performance of the NHS AppFOI's and internal queries, Data quality issues, and improvements to national reporting


Key Skills

- Experience in Government Digital StandardDevOps

- Terraform and cloud native AzureDevelopment

- Azure, Python, React and / or Next.jsTesting

- Python and PlaywrightCode Version Control

- GitHub and GitLab



Please send me a copy of your your CV if you meet the requirements

We're supporting a major Nordic organisation moving from AI pilots into production-ready generative AI and agent-based analytics.
They're looking for a hands-on GCP GenAI Engineer to help scale real solutions.

Scope

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Productionise LLMs and AI agents on GCP
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Build RAG pipelines connected to enterprise data
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Integrate Gemini / Vertex AI with analytics platforms
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Implement monitoring, evaluation, and guardrails

Experience

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Strong GCP background
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Hands-on with Vertex AI, Gemini, or LLM platforms
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Proven delivery of production AI solutions
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Python and data integration skills

Freelance contract | Finland-based project | Competitive day rate

Reach out for a confidential discussion.

Senior Power BI Consultant - Outside IR35
Location: Central London (2-3 days on‑site)
Contract: 6-12 months, Outside IR35
Industry: Oil & Gas / Commodity Trading

Role Summary
A leading energy & commodity trading business is looking for a Senior Power BI Consultant to support ongoing analytics and data‑modelling work. The role blends hands‑on BI development with business engagement.

Key Responsibilities
* Build and optimise Power BI dashboards, semantic models, and data flows.
* Lead data modelling across complex trading datasets.
* Translate business requirements into technical specifications for offshore developers.
* Ensure best practice in DAX, SQL, and BI design.
* Work within the organisation's Databricks environment (platform familiarity expected).
* Provide leadership, guidance, and clear communication to both business and technical teams.

Required Skills
* Expert‑level Power BI, DAX, and data modelling.
* Strong SQL and experience with large datasets.
* Working knowledge of Python, PySpark, and Databricks.
* Excellent communication and stakeholder‑facing skills.
* Experience in oil & gas, energy, or commodity trading is strongly preferred.
* Ability to work with and guide offshore teams.

Nice to Have
* Understanding of trading analytics (PnL, risk, positions).
* Experience with Azure data services.

Please send me a copy of your CV if you're fit the requirement

Data Product Owner

Outside IR35

* Start Data ASAP
* Contract Length: 6 months
* Location: Newcastle Upon Tyne 1 day a week
* SC Clearance preferable. BPSS with view to getting cleared

The Data Product Owner is accountable for maximising the business value of one or more data products, treating data as a product with clear consumers, measurable value, and defined service levels.

They act as the primary bridge between business stakeholders and delivery teams, owning the product vision, backlog prioritisation, and ongoing performance of the data product across its lifecycle. Each data product has a clearly identified owner who is commercially and operationally responsible for its success .

Key Responsibilities

Product Vision & Strategy

* Define and communicate a clear product vision and roadmap for assigned data products, aligned to business outcomes and strategic priorities .
* Ensure each data product is valuable, usable, feasible, and viable for its intended consumers .
* Act as the accountable owner for the success (or failure) of the data product in delivering measurable business value .

Stakeholder Management

* Serve as the primary point of contact for business stakeholders, data consumers, and delivery teams .
* Translate business needs into clear, prioritised product requirements and outcomes.
* Balance competing stakeholder demands while maintaining focus on agreed product goals.

Backlog Ownership & Prioritisation

* Own and prioritise the product backlog, ensuring delivery teams are always working on the highest-value items .
* Define user stories and acceptance criteria with a strong focus on consumer value and usability.
* Make informed trade-offs between scope, quality, time, and cost.

Data Product Delivery Agreements & SLAs

* Define, own, and maintain Data Product Delivery Agreements, including SLAs covering quality, timeliness, availability, and reliability .
* Agree and track non-functional requirements such as refresh frequency, retention, and recovery expectations.
* Ensure consumers clearly understand intended use, limitations, and notice-of-change commitments.

Value Measurement & Performance Monitoring

* Define success metrics and value measures for each data product, including usage, engagement, and business impact .
* Monitor product performance and data quality, initiating corrective action where standards are not met.
* Regularly review product value and make evidence-based decisions on enhancement, maintenance, or retirement.

Data Quality, Ethics & Compliance

* Ensure data products meet agreed data quality thresholds and are trustworthy for decision-making .
* Embed regulatory, privacy, and ethical considerations into product design and operation .
* Act as a steward for responsible data use within the product domain.

Cross-Functional Leadership

* Work closely with engineers, analytics engineers, platform teams, and UX to deliver high-quality data products .
* Champion a "data as a product" mindset across business and technical teams.
* Contribute to the evolution of product management and data product practices across the organisation.

Required Experience & Skills

Essential

* Proven experience as a Product Owner, Product Manager, or similar role in a data, analytics, or platform environment.
* Strong understanding of data and analytics concepts (e.g. data products, data quality, analytics use cases).
* Experience owning and prioritising backlogs and working with cross-functional delivery teams.
* Excellent stakeholder management and communication skills.
* Ability to define and measure business value.

Desirable

* Experience working with data platforms, analytics products, or data mesh-style ownership models .
* Familiarity with defining SLAs, service promises, or delivery agreements for data products.
* Experience operating in regulated or ethically sensitive data environments.
* Exposure to Agile and product management frameworks.

Please send me a copy pf your CV if you're interested?

Lead Data Warehouse Senior Engineer - Contract

Hybrid Dublin - 2 days
7+ years experience

This is an exciting opportunity for an experienced Data Warehouse Developer to join our expanding IT team responsible for the development and maintenance of our mission critical applications.

Key Responsibilities

* Design and implement ETL procedures for intake of data from both internal and outside sources, as well as ensure data is verified and quality is checked.
* Collaborate with business and technology stakeholders in ensuring data warehouse architecture development and utilization.
* Work with business analysts and project managers to develop and refine reporting and analytics requirements.
* Work on complex projects that require both depth and breadth of knowledge in a number of technologies and the business.
* Participate on projects, clarifying the business requirements, performing systems analysis, development and modification activities, as well as related maintenance & support.
* Assist in planning sessions with the business users to analyze business requirements, and provide design recommendations.
* Write concise and clear technical specifications based on analysis of complex business requirements.
* Translate business and technical requirements into business application systems.



Experience:

* Advanced knowledge of SQL including complex stored procedures, functions, query optimization, indexing strategy.
* 7+ years of experience of SSIS and SQL Server Database.
* Proven track record in delivering scalable and reliable Data Warehouse solutions.
* Strong data modeling and dimensional modeling skills (including slowly changing dimensions).
* Experience with data quality and data profiling.
* ETL/ELT design and development experience.
* Experienced in designing, building and maintaining large/complex Data Warehouse systems is desirable.
* Experience with Tableau is also desirable.
* Experience of Azure Data Storage, Azure Data Lakes and Azure SQL DB is desirable
* Experience of Azure Devops (pipelines, repos, releases etc.) is desirable


Education & Training

* Third Level Qualification in Computer Science / IT or relevant work experience.
* MS/Azure certifications desirable

Competencies

* Delivery focused with a strong aptitude for team motivation
* Highly organised and structured approach to working
* Strong analytical skills that ensure projects are delivered to an accurate and high quality standard.
* Ability to work effectively in a team environment.
* Superb oral/written communication skills.

Please can you send me a copy of your CV if you are interested