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Data Platform Consultant - MS Partner - Fabric - Databricks

MS Partner expanding their data practice and looking for a Data Platform Engineering Consultant with partner/consultancy background delivering complex data solutions in the cloud.

You will come with technical expertise across the MS Data Platform (SSIS, SSAS, Data Factory etc) coupled with one of or both MS Fabric/Databricks.

The role is very flexible with some client site travel if required and office attendance once or twice per month in Berkshire. Salary on offer is up to £70,000.

Core benefits of this role include flexible working arrangements, professional development opportunities, and a commitment to fostering inclusivity within the workplace. This position is well-suited for individuals who thrive in innovative environments and are eager to drive impactful data solutions.

If you are passionate about data and looking to make a difference in a collaborative setting, we invite you to apply for this exciting opportunity.

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

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

What You'll Be Doing:

-Enhancing and maintaining backend microservices written in Go.
-Operating and evolving an AWS‑based IoT backend (IoT Core, ECS/ECR, RDS, ElastiCache, MSK, S3, etc.).
-Reducing cloud OPEX through smart cost optimisation across compute, storage, databases, and data streams.
-Improving system stability, observability, operational flow, SLOs, and incident response.
-Simplifying and consolidating backend services into a larger existing platform.
-Driving better CI/CD pipelines, testing automation, and release processes.
-Creating documentation, architectural insights, and structured knowledge transfer for onboarding your permanent successor.

Key Requirements:

-Senior‑level Go backend development experience.
-Strong hands‑on expertise with AWS, especially IoT Core, ECS, RDS, AppConfig, Secrets Manager.
-Proficiency with Terraform / IaC.
-Experience with IoT, MQTT, or message‑driven systems.
-Solid grounding in cloud cost optimisation.
-Strong troubleshooting skills for distributed systems.
-Experience with CI/CD and observability tools (Datadog, Grafana, Sentry, etc.).
-Ability to work independently within a small team and take ownership of complex systems.

We are representing a well established consumer brand undergoing a major AI transformation initiative.

The organization is designing and standing up a next generation, AI ready data platform on AWS, with Snowflake at the core. They are looking for a professional who will take ownership of the platform as the external advisory engagement transitions, ultimately becoming the internal Data Platform Lead.

This is not a "ticket taking" data engineering role. This is a build, architect, and own mandate.

The business is investing heavily in foundational data capabilities to support:

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GenAI enablement
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Revenue management and pricing optimization
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Marketing analytics
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Retail and consumer insights
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Enterprise data modernization

You would be stepping in at a critical inflection point, helping shape the long term data and AI backbone of the organization.

What You'll Be Doing:

Platform Ownership

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Build and scale ingestion pipelines and core platform foundations
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Own architecture, governance, reliability, and scalability
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Enhance and mature the medallion architecture
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Implement Snowpark based compute models

Engineering Execution

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Develop within Snowflake (Snowpark, Snowpipe, streaming)
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Leverage AWS core data and compute services
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Drive transformations with dbt
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Integrate marketing, retailer, Nielsen, and consumer behavior data sources
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Use Fivetran for ingestion workflows
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Manage infrastructure as code via Terraform
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Maintain version control standards via GitHub

Strategic Impact

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Translate business use cases into scalable platform components
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Advise leadership on what should or should not be built, and why
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Act as the internal SME across Snowflake and AWS data engineering
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Partner with business stakeholders and product owners
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Lead knowledge transfer and transition planning from consulting to in house

This individual will ultimately lead the internal data platform function and collaborate closely with a separate application engineering team.

What We're Looking For

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Strong hands on Snowflake experience, including Snowpark and advanced ingestion patterns
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Deep AWS data platform expertise
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Experience building and scaling enterprise data platforms end to end
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Architecture level thinking, not just pipeline development
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Experience supporting analytics and AI use cases
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Strong stakeholder engagement and communication skills
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Ability to operate independently and define standards





Weekly visits to the office in New York are strongly preferred

What you'll do:

-Build platform functions and frameworks.
-Implement Infrastructure as Code (IaC) using Bicep/Terraform.
-Automate Azure resource provisioning (Synapse, ADF, ADLS, Key Vault).
-Develop modular deployment patterns for dev/test/prod environments.
-Drive CI/CD pipelines and release processes.

Tech Stack & Skills:

-Programming: Python (automation & Spark) and/or C#/.NET.
-SQL: Advanced development & optimization.
-Azure Data Platform: Synapse, Data Factory, Data Lake Gen2, Functions.
-IaC: Bicep/Terraform.
-Architecture: Lakehouse, Data Mesh, metadata-driven ingestion.
-Security & Governance: RBAC, Key Vault, private endpoints, data lineage.
-DevOps: Git branching, Azure DevOps Pipelines/GitHub Actions.

Location: Stockholm or Malmö (on-site 4 days/week)
Contract: Freelance | 12 months | Start Feb 2026

If you're passionate about building scalable, secure data platforms and thrive in a hands-on engineering role, then drop me a message!

Senior Data Engineer - Oxfordshire - £75,000

Please note - this role will require you to attend the Oxfordshire based office at least one day per week. To be eligible for this role you must have the unrestricted right to work in the UK - this client is not able to offer sponsorship.

About the Role

A highly skilled Senior Data Engineer is required to join a growing team. This is a hands-on role where the successful candidate will lead by example, manage junior team members, and set best practice standards for data engineering across the organisation.

The position involves playing a key role in an exciting project to migrate an existing Azure data platform into Databricks, while also handling day-to-day data engineering responsibilities. Longer term, the role will focus on shaping the approach to data science and AI technologies, ensuring the organization remains ahead of the curve.

Key Responsibilities

* Lead and mentor junior data engineers, fostering a culture of excellence and collaboration.
* Define and implement best practices for data engineering processes and standards.
* Drive the migration of the Azure data platform into Databricks.
* Design, build, and maintain robust data pipelines and solutions.
* Collaborate with stakeholders to ensure data solutions meet business needs.
* Explore and integrate data science and AI technologies into future projects.

Skills & Experience

* Proven experience as a hands-on Data Engineer in a senior capacity.
* Strong expertise in SQL Server and the Azure data platform (Data Factory, Synapse, etc.).
* Experience with Databricks (or strong willingness to learn).
* Solid understanding of data architecture, ETL processes, and performance optimisation.
* Excellent leadership and communication skills.

What's Offered

* Competitive salary up to £75,000.
* Hybrid working model - 1 day per week on-site in Banbury.
* Opportunity to work on cutting-edge projects and influence the future of data strategy.
* Professional development and career growth in data engineering and AI.

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.

Analytics Solution Engineer- Contract Opportunity

Remote
Inside IR35
6 Months

Responsibilities
* Managing and resolving platform issues, alerts, and incidents
* Maintaining platform artefacts including secrets, clusters, and release components across Palantir Foundry and Azure Databricks
* Supporting Data Engineers with pipeline creation and platform usage
* Implementing Terraform modules, performing health checks, managing secrets, and overseeing release processes
* Conducting GitHub peer reviews and taking ownership of software components
* Ensuring reliability and performance of Databricks and Palantir Foundry platforms
* Delivering DevOps work to build analytics infrastructure, support redlines, and improve processes
* Performing audit data analysis, data restore operations, immutable backups, networking and access configuration
* Managing PowerBI gateways, VM reservations, Event Hub TUs, serverless compute clusters, and Terraform deployments

Required Skills
* Azure Databricks
* Git / GitHub
* DevOps & Cloud Operations
* Azure Functions
* Data Streaming
* PySpark, Python, SQL
* Automation & Public Cloud
* Cloud Infrastructure
* Terraform
* Palantir Foundry
* PowerBI
* Software Lifecycle Management

If you meet the requirements please send me a copy of your

What You'll Be Working On

-Pairing closely with a Senior DevOps Engineer on infrastructure and platform tasks
-Supporting and improving CI/CD pipelines and automation workflows
-Working with containerized environments and DevOps best practices
-Contributing to internal tooling, reliability improvements, and operational efficiency
-Continuous learning and development in a supportive engineering culture

Requirements:

-AWS or cloud experience
-Linux/Unix systems
-Docker
-Git
-(Bonus) Kubernetes or OpenStack
-A proactive attitude and a willingness to learn fast

If you're at the beginning of your DevOps journey and want to level up quickly in a collaborative environment, I'd love to hear from you.

Job Description

I'm supporting a client who is seeking an experienced Finnish-speaking Azure DevOps Engineer with a strong focus on identity, access management, and secure cloud operations within Azure. This role will play a key part in ensuring platforms are scalable, automated, and aligned with security best practices.



Key Responsibilities



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Design, build, and maintain CI/CD pipelines using Azure DevOps
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Implement and manage Azure identity and access management, with a strong focus on Azure AD / Entra ID
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Define and maintain RBAC, service principals, managed identities, and access policies across environments
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Automate Azure infrastructure using Infrastructure as Code (Terraform preferred; Bicep/ARM acceptable)
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Support secure application deployments across multiple environments
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Work closely with engineering and security teams to enforce least-privilege access and governance standards
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Monitor, troubleshoot, and improve platform reliability and security
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Maintain documentation, access models, and operational runbooks



Technical Requirements



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Strong hands-on experience with Microsoft Azure in production environments
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Proven experience with Azure DevOps (pipelines, repos, artifacts)
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Deep understanding of Azure AD / Entra ID, IAM concepts, and access governance
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Experience implementing RBAC, managed identities, service principals, and conditional access
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Infrastructure as Code experience (Terraform preferred)
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Experience with containers and orchestration (Docker, Kubernetes / AKS)
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Scripting experience (PowerShell, Bash, or similar)
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Familiarity with monitoring and logging tools (Azure Monitor, Log Analytics, Application Insights)



Nice to Have



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Experience working in regulated or security-conscious environments
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Knowledge of Azure Policy, PIM, and access reviews
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Experience supporting microservices architectures
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Background working closely with security or platform teams