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Senior AWS Data Engineer - Greenfield Market Data Platform | London | Vice President Level

Location: London - Canary Wharf (Hybrid: 2-3 days/week in office)
Salary: Up to around £120,000 + Bonus + Benefits
Employment Type: Permanent
Industry: Financial Services

We're working with a prestigious financial services client on a greenfield data engineering opportunity that's set to transform how market data is accessed and used across the business. This is a rare chance to join a high-impact initiative at its inception, designing and building a cutting-edge Market Data Store (MDS) platform using the latest cloud technologies.

This individual contributor role is ideal for a hands-on Senior Data Engineer who thrives in technically complex environments and enjoys solving large-scale data pipeline challenges. You'll work with tools like AWS Glue, PySpark, Iceberg, Databricks, and Snowflake, collaborating with data scientists and stakeholders across multiple business units.

Key Responsibilities:

* Design, build, and maintain scalable data pipelines and architectures.
* Implement secure and efficient data lakes and warehouses to manage high-volume, high-velocity data.
* Develop advanced data processing and analysis algorithms using Python and SQL.
* Collaborate with data scientists to deploy machine learning models.
* Contribute to strategic planning, risk management, and governance initiatives.
* Act as a subject matter expert, guiding technical direction and mentoring junior engineers.

What We're Looking For:

* Strong hands-on experience with AWS data engineering tools: Glue, PySpark, Athena, Iceberg, Lake Formation, etc.
* Proficiency in Python and SQL for data processing and analysis.
* Deep understanding of data governance, quality, and security best practices.
* Experience working with market data and its applications.
* Excellent communication and stakeholder management skills.

Nice to Have:

* Experience with Databricks and Snowflake.
* Exposure to machine learning and data science

Why Apply?

* Be part of a greenfield build with strategic visibility and long-term impact.
* Work with cutting-edge technologies in a collaborative, forward-thinking team.
* Enjoy a Vice President-level role with technical leadership and autonomy.
* Hybrid working model: 2-3 days/week in Canary Wharf office.

Interested in learning more?
Apply now or reach out for a confidential chat.



Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at v.simpson@tenthrevolution.com

Senior AWS Data Engineer - London - £125,000

Please note - this role will require you to work from the London based office. You must have the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship.

An exciting opportunity to join a greenfield initiative focused on transforming how market data is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue.

Key Responsibilities:

* Build and maintain scalable data pipelines, warehouses, and lakes.
* Design secure, high-performance data architectures.
* Develop processing and analysis algorithms for complex data sets.
* Collaborate with data scientists to deploy machine learning models.
* Contribute to strategy, planning, and continuous improvement.

Required Experience:

* Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation.
* Strong Python and SQL skills for data processing and analysis.
* Deep understanding of data governance, quality, and security.
* Knowledge of market data and its business applications.

Desirable Experience:

* Experience with Databricks and Snowflake.
* Familiarity with machine learning and data science concepts.
* Strategic thinking and ability to influence cross-functional teams.

This role offers the chance to work across multiple business areas, solve complex data challenges, and contribute to long-term strategic goals. You'll be empowered to lead, collaborate, and innovate in a dynamic environment.

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.

Senior software engineer (backend) - 6 month project (potential extension) - Full time - Stockholm

We're looking for a seasoned backend engineer who thrives in technical ambiguity and working across the full engineering lifecycle, from solving complex API challenges, to seamless integrations with customer platforms.

This isn't your typical backend role. Yes, you'll write code but your real impact will come from untangling complexity, aligning teams, and driving technical clarity across multiple layers of the stack and organization.

🚀 What You'll Do

*

Lead technical initiatives end-to-end, from scoping to deployment
*

Work hand-in-hand with product managers, external partners, and internal stakeholders
*

Own integrations with a wide range of third-party APIs and hardware devices
*

Navigate complex cloud infrastructure and distributed systems
*

Bring structure and clarity to fast-moving, ambiguous environment

This is a backend-first role where you'll be deeply involved in:

*

API design and integration
*

Distributed systems and cloud operations
*

Automation and data pipelines
*

Real-world, IoT-scale device integrations (think: solar panels, EV chargers, batteries - all speaking different languages)

🛠 Our Stack

We're tech-agnostic when it makes sense, but here's what you'll mostly work with:

*

Golang (must-have)
*

AWS (our primary production cloud) - Lambda, RDS, IoT Core, and more
*

GCP (mostly on the analytics and data side) - Cloud Run, BigQuery, Python
*

MQTT and other protocols for

This role is deeply backend-focused, but it touches systems-level thinking, infrastructure, and real-world connected devices.

🧠 Who We're Looking For

You're a good fit if you:

*

Have experience at the Staff, Principal, or very Senior Engineer level
*

Have worked in startups or high growth environments
*

Are comfortable owning complex technical projects from idea to production
*

Know how to collaborate across function, especially with product and external technical teams
*

Love diving into murky, layered systems and driving towards clarity
*

Bring a high level of technical ownership and curiosity

Bonus points if you've worked with IoT and energy systems, but not a must-have.

Who is this gig great for:

* A highly skilled Senior Data Engineer with a strong background in data engineering, with experience in data models, developing customer use cases, and working with domain experts.
* A confident individual who can be bold in suggesting new solutions.

Your gig: You will be responsible for several tasks, including:

* Refining data models to improve performance
* Integrating and managing data across legacy systems
* Assist the team to analyse, design and implement ETL pipelines

Requirements: To excel in this role, you will have:

* Proven experience as a Data Engineer
* Strong expertise in AWS components
* Proficiency in SQL

Information: Swedish speaking 6-12 month hybrid role (3 days on site) in Malmo.

Monitoring an Analytics Security Engineer (Contract, PAYE via Umbrella)

A cutting-edge engineering team is seeking a skilled Security Engineer to support the development of a telemetry pipeline MVP. This contract role demands deep expertise in containerised environments, observability tooling, and secure infrastructure design. The successful candidate will embed security across the pipeline architecture and collaborate closely with DevOps and development teams.

Key Responsibilities
* Design and implement security controls across Kubernetes and OpenShift environments
* Ensure secure configuration and access management within GitLab and CI/CD pipelines
* Integrate and secure telemetry tools including Cribl, Elastic, Splunk, Fluentd, and Syslog
* Conduct threat modeling, vulnerability assessments, and risk analysis
* Collaborate with DevOps engineers to embed security into infrastructure-as-code workflows
* Monitor and respond to security events from observability platforms
* Maintain documentation of security architecture, policies, and incident response procedures

Required Skills & Experience
* Strong hands-on experience with Kubernetes and OpenShift in secure production environments
* Proficiency in GitLab and secure CI/CD pipeline practices
* Familiarity with telemetry and logging tools: Cribl, Elastic, Splunk, Fluentd, Syslog
* Deep understanding of networking protocols, firewalls, VPNs, and security principles
* Experience with security frameworks (e.g., NIST, ISO 27001) and compliance requirements
* Knowledge of container security tools (e.g., Aqua, Twistlock, Trivy) and vulnerability scanners
* Excellent analytical and communication skills

Preferred Qualifications
* Certifications such as CISSP, CISM, CKS, or equivalent
* Experience in building MVPs or working in startup-like environments
* Familiarity with cloud security across AWS, Azure, or GCP

Additional Details
* Contract engagement must be operated via PAYE through an umbrella company

Hybrid

Inside IR35

Knutsford or Glasgow Hybrid

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

This role focuses on building scalable data pipelines, integrating diverse data sources, and enabling predictive analytics across cloud environments.



Key Technical Requirements:

* Strong hands-on experience developing data pipelines using Python
* Strong SQL skills, including performance tuning, stored procedures, and data modeling (Star/Snowflake schemas)
* Proven experience with Azure Data Factory (ADF) and Azure Synapse
* Experience with ETL orchestration tools such as Apache Airflow
* Skilled in working with structured and unstructured data, including ingestion from APIs (REST/JSON/XML)
* Familiarity with cloud-based warehousing tools such as Snowflake, Redshift, or BigQuery
* Comfortable working in Azure and/or hybrid cloud environments (Azure/AWS)
* Experience supporting machine learning or predictive modeling pipelines
* Familiar with containerization and version control: Docker, Git, and Azure DevOps
* Understanding of data serialization formats (Parquet, Avro, JSON)
* Knowledge of data validation, quality checks, and observability tools (Azure Monitor, logging frameworks, etc.)



Candidates will be expected, during the interview process, to demonstrate deep hands-on technical experience in data pipeline development, cloud orchestration, and ML-ready data infrastructure.



This position will require the successful applicant to work 5 days per week on site.

Senior AWS Data Engineer - Greenfield Market Data Platform | London | Vice President Level

Location: London - Canary Wharf (Hybrid: 2-3 days/week in office)
Salary: Up to around £120,000 + Bonus + Benefits
Employment Type: Permanent
Industry: Financial Services

We're working with a prestigious financial services client on a greenfield data engineering opportunity that's set to transform how market data is accessed and used across the business. This is a rare chance to join a high-impact initiative at its inception, designing and building a cutting-edge Market Data Store (MDS) platform using the latest cloud technologies.

This individual contributor role is ideal for a hands-on Senior Data Engineer who thrives in technically complex environments and enjoys solving large-scale data pipeline challenges. You'll work with tools like AWS Glue, PySpark, Iceberg, Databricks, and Snowflake, collaborating with data scientists and stakeholders across multiple business units.

Key Responsibilities:

* Design, build, and maintain scalable data pipelines and architectures.
* Implement secure and efficient data lakes and warehouses to manage high-volume, high-velocity data.
* Develop advanced data processing and analysis algorithms using Python and SQL.
* Collaborate with data scientists to deploy machine learning models.
* Contribute to strategic planning, risk management, and governance initiatives.
* Act as a subject matter expert, guiding technical direction and mentoring junior engineers.

What We're Looking For:

* Strong hands-on experience with AWS data engineering tools: Glue, PySpark, Athena, Iceberg, Lake Formation, etc.
* Proficiency in Python and SQL for data processing and analysis.
* Deep understanding of data governance, quality, and security best practices.
* Experience working with market data and its applications.
* Excellent communication and stakeholder management skills.

Nice to Have:

* Experience with Databricks and Snowflake.
* Exposure to machine learning and data science

Why Apply?

* Be part of a greenfield build with strategic visibility and long-term impact.
* Work with cutting-edge technologies in a collaborative, forward-thinking team.
* Enjoy a Vice President-level role with technical leadership and autonomy.
* Hybrid working model: 2-3 days/week in Canary Wharf office.

Interested in learning more?
Apply now or reach out for a confidential chat.



Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at v.simpson@tenthrevolution.com

Data Engineer - Permanent

As a data Engineer, you will shape next-gen data architecture, build smart solutions with Web and Data Science teams, and harness Gen AI to move faster and smarter. You will be experienced in AI and enjoy writing code.

Responsibilities

* Build and maintain scalable distributed systems using Scala and Java
* Design complex Spark jobs, asynchronous APIs, and parallel processes
* Use Gen AI tools to enhance development speed and quality
* Collaborate in Agile teams to improve their data collection pipelines
* Apply best practices like TDD, SOLID, and their engineering standards
* Design relational and non-relational databases and data models
* Support the Data Science team in deploying machine learning models to production
* Leverage data structures, algorithms, and design patterns effectively
* Foster empathy and collaboration within the team and with customers

Preferred Experience

* Degree in Computer Science or equivalent practical experience
* Commercial experience with Spark, Scala, and Java (Python is a plus)
* Strong background in distributed systems (Hadoop, Spark, AWS)
* Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ)
* Experience with orchestration tools (Chef, Puppet, Ansible) and ETL workflows (Airflow, Luigi)
* Familiarity with cloud platforms (AWS, GCP) and monitoring tools (ELK stack)
* Proven problem-solving mindset and ability to adapt solutions to complex challenges
* Hands-on use of Gen AI tools for coding, debugging, or system design

Fully Remote
Brilliant benefits package

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

Platform Engineer - 3 Month Contract
Location: Remote (UK-based only) with occasional travel to client and team sites
Rate: Competitive day rate

A fast-growing data consultancy is seeking a skilled Platform Engineer to support the rollout and maintenance of a federated, multi-service Data & AI platform. This short-term contract offers the opportunity to work on cutting-edge cloud infrastructure projects, with a strong focus on scalability, governance, and cost optimisation.

Interview Process:
Two stages - an informal introductory chat followed by a technical interview with senior team members.

Role Overview:
You'll be responsible for designing and implementing secure, scalable cloud infrastructure on Azure, enabling advanced data services and ensuring compliance across environments. The role requires hands-on experience with infrastructure-as-code, CI/CD, and cloud-native security practices.

Key Skills & Experience:

* Terraform for Azure infrastructure automation
* GitHub Actions and CI/CD pipeline design
* Azure Private Link and Private Link Service configuration
* Databricks and Unity Catalog for data governance
* Azure Policy and compliance enforcement
* Identity and access management (OAuth, federated credentials)
* Azure security best practices including BCDR and high availability
* Cost management and optimisation strategies within Azure

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

Copilot Studio / Power Platform Engineer/Architect

Design, secure, and optimize enterprise-grade Copilot Studio and Power Platform solutions that extend Microsoft 365 and Dynamics 365. You will own the full technical delivery lifecycle - from data modeling and plugin development through deployment automation and analytics - creating scalable, production-ready conversational and automation experiences.

Technical requirements

* Copilot Studio experience is an essential requirement for this role: solution authoring, generative topic orchestration, conversation boosters, custom actions, multilingual intent models, memory management, and analytics
* Integration design across Dataverse, SharePoint, Azure SQL, Cosmos DB, and external systems using custom and certified connectors with secure, role-based access
* Configuration of Azure OpenAI or Azure AI Studio endpoints to ground Copilot responses in proprietary data via retrieval-augmented generation
* Development of Power FX formulas, reusable components, and PCF controls to extend Copilot-enabled Power Apps (Canvas, Model-driven) and Power Pages portals
* Automation engineering with Power Automate cloud flows, adaptive cards, approvals, trigger conditions, and API management
* Embedding Copilot experiences into Dynamics 365, Microsoft Teams, Viva, SharePoint, web portals, and mobile apps with single sign-on and contextual data sharing
* Live demos and presales enablement: design and deliver engaging demonstrations and technical workshops that showcase solutions, accelerate stakeholder buy-in, and drive platform adoption
* Implementation of environment governance: DLP policies, solution segmentation, managed-solution ALM, conditional access, audit logging, and tenant-level analytics
* CI/CD pipelines using Azure DevOps or GitHub Actions to automate builds, tests, and releases across multiple environments
* Security architecture covering Entra ID authentication, OAuth 2.0 token handling, data masking, information protection labels, and endpoint hardening
* Monitoring and optimization with Copilot Studio analytics, Application Insights, and Power BI to measure utilization, quality, and performance while driving continuous improvement