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    Data Platform Engineer - Azure

    Finland, Helsinki

    • Negotiable
    • Engineer Role
    • Skills: Azure, Data, Synapse
    • Seniority: Mid-level

    Job description

    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



    *

    Design, build, and evolve a standardised Data Landing Zone / Lakehouse platform in Azure
    *

    Create reusable frameworks, patterns, and "golden paths" to enable uniform ways of working across data teams
    *

    Build metadata- and configuration-driven ingestion frameworks to onboard new data sources efficiently
    *

    Ensure strong security and governance across the platform, including identity and access management (RBAC, managed identities, Key Vault, policies, logging)
    *

    Establish and maintain CI/CD pipelines, deployment patterns, and environment structures (dev/test/prod, multiple domains)
    *

    Own platform operability, including monitoring, incident management, and continuous improvement
    *

    Drive cost transparency and optimisation (FinOps), performance tuning, and resource efficiency
    *

    Support and enable data teams through documentation, templates, onboarding flows, and technical guidance



    Required Experience



    *

    Strong hands-on experience with Azure data services such as Synapse Analytics, Azure Data Factory, and ADLS Gen2
    *

    Solid programming skills in Python (and/or C#/.NET) and strong SQL
    *

    Experience with Infrastructure as Code using Bicep and/or Terraform
    *

    CI/CD experience with Azure DevOps Pipelines or GitHub Actions
    *

    Good understanding of Lakehouse architecture, metadata-driven ingestion, and data governance concepts
    *

    Experience implementing secure, reliable platforms using Azure IAM, managed identities, and network controls

    Freelance Azure Data Engineer / Architect

    Finland, Helsinki

    • Negotiable
    • Engineer Role
    • Skills: Azure, Data, Databricks
    • Seniority: Mid-level

    Job description

    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



    *

    Design and implement scalable Azure-based data architectures
    *

    Build and maintain reliable data pipelines (batch and streaming)
    *

    Lead architectural decisions across data ingestion, storage, and analytics
    *

    Develop data models optimised for performance and analytics use cases
    *

    Ensure best practices around data governance, security, and compliance
    *

    Optimise cost, performance, and reliability of Azure data platforms
    *

    Collaborate closely with engineers, analysts, and business stakeholders



    Required Experience



    *

    Strong background as a Data Engineer with architect-level responsibility
    *

    Proven experience designing and delivering data platforms on Microsoft Azure
    *

    Hands-on experience with:

    *

    Azure Data Factory
    *

    Azure Synapse Analytics
    *

    Azure Databricks
    *

    Azure Data Lake (Gen2)

    *

    Strong SQL and data modelling expertise
    *

    Experience with CI/CD and infrastructure-as-code in Azure
    *

    Ability to work independently in a freelance/contract environment



    Nice to Have



    *

    Streaming experience (Azure Event Hubs, Kafka)
    *

    Azure Purview / Microsoft Fabric experience
    *

    Terraform or Bicep
    *

    Experience in large enterprise or regulated environments

    Data Engineer

    England, London

    • £400 to £450 GBP
    • Engineer Role
    • Skills: azure data factory, python, nhs expreince, geojson, python, geospatial
    • Seniority: Senior

    Job description

    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

    Software Engineer

    England, London

    • £1 to £1 GBP
    • Engineer Role
    • Skills: Power BI, data modelling, design, Sql, DAX, Python, Databricks, pyspark.
    • Seniority: Senior

    Job description

    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

    England, Tyne and Wear, Newcastle upon Tyne

    • £400 to £450 GBP
    • DevOps Role
    • Skills: sla
    • Seniority: Senior

    Job description

    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?