Recherche actuelle

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

Head of Data Deployment & Risk Management

Location: Glasgow (Hybrid)

An international financial services organisation is seeking an experienced Head of Data Deployment & Risk Management to lead the safe and efficient testing, deployment, and delivery of large-scale data initiatives. The successful candidate will oversee the end-to-end lifecycle of complex technical projects, ensuring delivery to time, budget, and quality requirements while managing risk and fostering innovation.

The Role

This position plays a critical part in shaping the future of the organisation's data capabilities. The Head of Data Deployment & Risk Management will collaborate with stakeholders across the enterprise, including technology teams, business leaders, and external partners, to ensure projects align with regulatory standards, security requirements, and strategic objectives.

Key Responsibilities

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Lead the delivery and improvement of complex data and technology projects using Agile and Scaled Agile frameworks.
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Manage risk across the software product lifecycle, identifying, assessing, and mitigating potential challenges.
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Partner with product managers, engineers, and quality teams to deliver high-quality solutions that support customer and business needs.
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Oversee vendor relationships to ensure performance against agreed terms.
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Drive continuous improvement by adopting modern technologies and best practices in testing, deployment, and risk management.
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Foster a culture of technical excellence, collaboration, and continuous learning.

Essential Experience

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Proven expertise in Cloud technologies
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Strong background in Change and Risk Management within financial services.
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Delivery experience in Scaled Agile or similar frameworks.
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Knowledge of modern testing and environment management frameworks.

Highly Valued Skills

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Experience with Test Automation Strategy / Engineering.
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Professional Risk Management qualifications (e.g., CRISC, IRM, FRM).
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Knowledge of DevOps & CI/CD strategy and engineering.



What's on Offer

This is an opportunity to play a senior leadership role in a global financial services organisation, shaping the deployment and risk management strategy for large-scale data initiatives. The position offers significant visibility across the organisation, the chance to work with cutting-edge technologies, and the ability to make a direct impact on customer and business outcomes.

For more information on this exciting new opportunity, reach out to Marley Taylor at Tenth Revolution Group with your CV: m.taylor@tenthrevolution.com

AWS Data Engineer - VP Level

Location: London (Canary Wharf)
Salary: £115000 - 120000

A leading financial institution is seeking a Senior AWS Data Engineer to join a greenfield initiative focused on transforming market data access and utilization. This VP-level role offers strategic influence, technical leadership, and cross-functional collaboration across business units.

Key Responsibilities:
* Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies.
* Implement robust data governance, quality, and security practices.
* Collaborate with data scientists to deploy machine learning models.
* Lead or contribute to strategic planning, risk management, and stakeholder engagement.
* Drive innovation through advanced analytics and research-based problem solving.

To be successful you should have:

* 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools.
* Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security.
* Proficiency in data processing and analysis using Python and SQL.
* Experience with data governance, data quality, and data security best practices.
* Strong knowledge of market data and its applications.

Some other highly valued skills may include:

* Experience with other data engineering tools and technologies.
* Knowledge of machine learning and data science concepts.
* Familiarity with Barclays' data strategy and practices.



Please send me your CV is you meet these requirements and we can then arrange call

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 AWS Data Engineer - Greenfield Market Data Platform - London/Hybrid - Up to 130k

My client is launching an ambitious initiative to transform the way market data is accessed and utilised. This rare greenfield opportunity allows a Senior AWS Data Engineer to join at the design stage, working with cutting-edge technologies such as Databricks and Snowflake. The successful candidate will play a pivotal role in tackling one of the most complex data pipeline challenges in financial services, collaborating with multiple business teams and gaining exposure to a wide range of sectors.

Key Responsibilities

You will be responsible for designing, building, and maintaining systems that collect, store, process, and analyse data - including pipelines, data warehouses, and data lakes - ensuring data accuracy, accessibility, and security.

Essential Skills & Experience

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Proven, hands-on expertise with AWS data engineering tools including Glue, PySpark, Athena, Iceberg, Databricks, and Lake Formation.
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Strong proficiency in Python and SQL for large-scale data processing and analysis.
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Demonstrated application of data governance, data quality, and data security best practices.

Desirable Skills

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Experience with additional data engineering tools and cloud platforms.
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Knowledge of machine learning and data science principles.
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Familiarity with enterprise-level data strategies.

Why join?

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A chance to design and influence a platform from the ground up.
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Exposure to modern, high-impact technologies.
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Collaboration with diverse business areas for broad industry insight.
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Direct involvement in shaping the future of market data management.

If this role sounds like it could be the next step for your career, don't hesitate to reach out to Marley Taylor at Tenth Revolution Group with your CV: m.taylor@tenthrevolution.com