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For Permanent

Data Engineer - Leeds - ADF - DWH - Up to £80k

England, West Yorkshire, Leeds

  • £60,000 to £80,000 GBP
  • Engineer Role
  • Skills: Data Engineering, Data Engineer, Snowflake, ETL, ELT, ADF, Data Factory, Synapse Analytics, SSIS, Migration, Pipeline, Python, Spark, DBT, Snowflake, Azure, SQL, Leeds
  • Seniority: Senior

Job description



Data Engineer - Leeds - ADF - DWH - Up to £80k

I'm working with a multinational, award winning organisation that are looking to scale out their entire IT team. Over the last decade or so, my client have been recognised as the leaders within their relative. As a result of their successes, they've grown exponentially and ventured into new countries where they've followed their blue print of success.
This has meant that the business has looked to modernise their Systems to allow for such growth and one of the key modernisation's comes within their Data Platform.

The vacancy is for a experienced Data Engineer who will be setting foot into a greenfield site where they will be using the latest and greatest technologies. This involves the use of the Azure Data stack as well as also, a data platform build which includes Snowflake.
You will be migrating old data processes into the cloud and helping to build the new platform from scratch which means that you'll be working very closely with an expert team of Data professionals, ultimately developing a first in class data platform.

This is a salaried position which ranges from between £60k-£80k. You can expect a great benefits package but also, an environment that boasts collaborative working as well as the opportunity to develop yourself. You will be given the opportunity to attend industry events, Training programmes but also, paid for, relevant certifications.

Requirements
  • Strong background in Data Engineering / Data Warehousing
  • Strong experience with the Azure Data Stack; ADF, Synapse
  • Strong Python / Spark
  • Strong SQL experience
  • Willingness to be in the office, ideally 4-5 days a week.
  • Additional experience of Snowflake is highly advantageous but not essential. Must show willingness to learn


This is a great opportunity to join outstanding organisation who pride themselves on being one of the best companies to work for. Interviews are already taking place so don't miss out and apply now!

If this is of an interest then get in touch ASAP. Send across your CV to t.shahid@tenthrevolution.com or alternatively, give me a call on 0191 3387551.

Keywords: Data Engineering, Data Engineer, Snowflake, ETL, ELT, ADF, Data Factory, Synapse Analytics, SSIS, Migration, Pipeline, Python, Spark, DBT, Snowflake, Azure, SQL, Leeds

Senior Data Engineer / Architect (BigQuery)

USA, Texas, Dallas

  • Negotiable
  • Engineer Role
  • Skills: Data Engineering, GCP, BigQuery, Dallas, Texas, ETL, DW, Data Warehousing, Contract,
  • Seniority: Senior

Job description



A leading entertainment company based in Dallas is seeking a Senior Data Engineer / Architect to help shape and optimize the future of their data architecture. This is a key role in modernizing their analytics platform, with a particular focus on Google BigQuery and cloud-native design.

What You'll Do:
  • Design and implement scalable data solutions using BigQuery, optimizing for performance, cost, and maintainability
  • Lead the architectural strategy for the company's data platform, ensuring alignment with business needs and best practices
  • Migrate legacy systems to a modern BigQuery-based stack
  • Collaborate with BI teams, analysts, and stakeholders to ensure data is modeled for reporting and decision-making
  • Implement robust data pipelines (ETL/ELT) using tools like Cloud Dataflow, DBT, Apache Beam, or similar
  • Establish and enforce data governance, quality, and documentation standards


What We're Looking For:
  • Strong experience designing and architecting cloud-based data warehouses, especially with BigQuery
  • Expertise in SQL performance tuning and large-scale data modeling
  • Proficiency with ETL tools and orchestration frameworks (e.g., Airflow, DBT, Dataflow)
  • Familiarity with GCP services and data infrastructure best practices
  • Experience working with semi-structured data (e.g., JSON, Parquet)
  • Ability to lead and mentor data engineering teams and influence architectural direction

Database Administrator (MSSQL)

Hong Kong

  • HK$50,000 to HK$55,000 HKD
  • Engineer Role
  • Skills: Database Support
  • Seniority: Mid-level

Job description



My client, a multinational company headquartered in Hong Kong, is looking for a skilled Database Administrator to join their Group IT team in HK. If you meet the qualifications, don't hesitate to take the next step in advancing your career.

Responsibilities:
  • Install, configure, and maintain Microsoft SQL Server databases across development, testing, and production environments
  • Monitor database performance, implement changes, and apply new patches and versions as required
  • Perform regular backup and restore procedures to ensure data integrity and availability
  • Ensure high availability and disaster recovery solutions are in place
  • Manage database security by controlling access permissions and privileges
  • Conduct regular performance tuning and optimization of SQL queries, indexes, and stored procedures
  • Troubleshoot and resolve database issues, including slow queries, blocking, deadlocks, and failed jobs
  • Work closely with developers to optimize database structures and support application performance
  • Maintain documentation related to database configurations, procedures, and standards


Requirements:
  • Higher diploma in information technology or computer science
  • Extensive experience in database administration and operation (e.g., SQL Server, MySQL).
  • Knowledge and experience of MS SQL Server 2016 and above.
  • Proven experience in database design, performance tuning, and optimization.
  • Significant experience in infrastructure architecture design to support database systems.
  • Proven ability to work effectively with cross-functional teams to deliver integrated solutions.
  • Ability to prioritize and self-manage varied workloads against agreed deadlines.
  • Candidate with less experience is welcome to apply.


We are hiring within the week and if you think this role is suitable for you please send your CV to l.looi@tenthrevolution.comor call on +85230180385.

Senior Data Engineer

England, Hertfordshire

  • £70,000 to £80,000 GBP
  • Engineer Role
  • Skills: Azure Data Factory, Azure Databricks, Python
  • Seniority: Mid-level

Job description



Senior Data Engineer - London/Hertfordshire - Hybrid


Are you a technically strong Azure Data Engineer looking to join a forward-thinking, innovative company? Here's your chance to work with a leading construction and infrastructure company who foster a culture of collaboration, support, and strong communication.

You'll be responsible for ensuring seamless integration and optimization of diverse business data streams - from CRM, finance, procurement to fleet and commercial data - enabling reliable, high-quality data for analytics and business insights. While this role won't be client-facing, strong communication and collaboration skills within their agile team are essential.



Requirements:
  • Experience orchestrating data pipelines with Azure Data Factory (ADF)
  • Proficiency managing API data ingestion and orchestration using Azure Databricks
  • Working with Azure Data Lake (ADL) Storage, on-prem SQL, and Python
  • Vast Azure data engineering experience
  • Proficient in ADF, Databricks, ADL, SQL, Python


Desirable:
  • Exposure to D365 or similar CRM environments
  • Azure Synapse experience
  • Power BI knowledge




Benefits:
  • Salary: £70,000 - £80,000 depending on experience
  • Hybrid working: 3 days a week in office (London or Hertfordshire, flexible split)
  • 26 days annual leave + bank holidays
  • Pension scheme with 5% company match
  • Healthcare (self-cover)




Data Engineer

England, London, City of London

  • £140,000 to £140,000 GBP
  • Engineer Role
  • Skills: AWS, Google Cloud, Python
  • Seniority: Senior

Job description





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

Senior Data Engineer

England, London, City of London

  • £85,000 to £100,000 GBP
  • Engineer Role
  • Skills: AWS, GCP, Scala, Java, Spark, SQL, Airflow, Kafka, Python, AI, ML
  • Seniority: Senior

Job description



My client is based in the London area, is currently looking to recruit an experienced Data Engineer to join their AI Analytics team. They are one of the leaders within the AI space. They are currently going through a period of growth and are looking for an experienced Data Engineer to join their team. They are backed by a huge multinational equity firm who are looking to bolster my client's financial position. They are expected to see year-on-year growth, which will allow them to implement and utilise the most in-demand and cutting-edge technology on the market right now.





Main Responsibilities
  • Develop scalable systems and reusable components that serve as reference points for new team members.
  • Create efficient data workflows using distributed computing tools, particularly for large-scale processing and aggregation.
  • Build responsive, asynchronous APIs and backend processes capable of handling high data volumes with minimal delay.
  • Utilise AI-powered development tools to enhance productivity and code quality.
  • Collaborate within Agile teams to refine and monitor data collection systems using Scala and Java.
  • Apply sound engineering principles such as test-driven development and modular design.



Preferred Background
  • Hands-on experience with Spark and Scala in commercial environments.
  • Familiarity with Java and Python.
  • Exposure to distributed data systems and cloud storage platforms.
  • Experience designing data schemas and analytical databases.
  • Use of AI tools to streamline development and debugging.
  • Strong grasp of algorithmic thinking and performance optimisation.
  • Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra.
  • Experience with systems like Kafka or RabbitMQ.
  • Ability to build and manage ETL pipelines using tools like Airflow.


This role is an urgent requirement. There are limited interview slots left. If interested, send an up-to-date CV to Shoaib Khan - S.Khan@Tenthrevolution.com or call 0191 338 7493 for a catch-up in complete confidence.

Tenth Revolution Data Teams offer more opportunities across the UK than any other recruiter. We're the proud sponsor and supporter of SQLBits, AWS RE: Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.

Data Engineer (Healthcare/Clinical Analytics)

USA, Texas, Addison

  • $80,000 to $120,000 USD
  • Engineer Role
  • Skills: AWS, SQL
  • Seniority: Senior

Job description



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 - London/Hybrid - up to £130k

England, London, Croydon

  • Up to £130,000 GBP
  • Engineer Role
  • Seniority: Senior

Job description



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



  • Proven, hands-on expertise with AWS data engineering tools including Glue, PySpark, Athena, Iceberg, Databricks, and Lake Formation.


  • Strong proficiency in Python and SQL for large-scale data processing and analysis.


  • Demonstrated application of data governance, data quality, and data security best practices.

Desirable Skills



  • Experience with additional data engineering tools and cloud platforms.


  • Knowledge of machine learning and data science principles.


  • Familiarity with enterprise-level data strategies.

Why join?



  • A chance to design and influence a platform from the ground up.


  • Exposure to modern, high-impact technologies.


  • Collaboration with diverse business areas for broad industry insight.


  • 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

System Engineer (M365 / O365)

Hong Kong

  • HK$50,000 to HK$70,000 HKD
  • Engineer Role
  • Skills: Infrastructure, Microsoft 365, Office 365
  • Seniority: Senior

Job description



Job Overview:

We are seeking a System Engineer to oversee the management of Microsoft systems and cloud infrastructure. You will be expecting to lead cloud migration projects, maintaining system performance, and ensuring secure, efficient IT operations across hybrid environments.



Job Responsibilities:
  • Manage, maintain and support Microsoft environments, including Windows Server, Active Directory, and Office 365.
  • Oversee the design, implementation, and ongoing management of Microsoft and cloud-based infrastructure.
  • Manage and optimize cloud services, particularly Microsoft Azure and AWS.
  • Lead cloud migration initiatives and maintain hybrid infrastructure environments.
  • Drive and deliver IT infrastructure projects, ensuring timely and successful execution.
  • Maintain comprehensive documentation for systems architecture, policies, and procedures.




Job Requirements:
  • Bachelor's degree in IT, Computer Science or related field
  • 5+ years of experience in Microsoft and cloud environments
  • Hands-on experience with Azure and/or AWS
  • Relevant certifications (e.g. Azure, Microsoft 365, AWS, VMware) are a plus




This is a good opportunity and great project to work with 5 working days a week, comprehensive remuneration packages.

We are hiring within this month and If you think this role is suitable for you please send your CV to Carsten, c.chin@tenthrevolution.com or call me at +852 3018 0384 to discuss further.

AI Product Engineer

England, London

  • £120,000 to £150,000 GBP
  • Engineer Role
  • Skills: Python, TypeScript, Next.js, LangChain, AWS Amplify, AWS Lambda, AWS Step Functions, OpenAI, Anthropic, Google, JSON, XML, CSV, Cursor, Windsurf, Loom, Prototyping, Rapid iteration, Debugging, APIs, Structured data, End-to-end ownership, Stakeholder
  • Seniority: Senior

Job description

About the Role



We are working with a leading financial services organization undergoing a major transformation, leveraging AI to enhance client-facing products and internal workflows. This is an exciting opportunity for a hands-on AI Product Engineer to join a small, agile engineering group within a larger, stable enterprise.

Key Responsibilities



  • Design and prototype AI-powered features using tools like OpenAI, Anthropic, and Google Vertex AI.


  • Develop full-stack solutions using Python and TypeScript in a Next.js / AWS Amplify stack.


  • Implement scalable, event-driven workflows with AWS Step Functions and Lambda.


  • Integrate and normalize financial data across formats including JSON, XML, and CSV.


  • Work cross-functionally with product, compliance, and operations teams to deliver production-ready solutions.


  • Troubleshoot and optimize LLM pipelines; prior experience with LangChain or similar frameworks is highly valuable.


  • Contribute to an environment that values rapid experimentation, clean architecture, and continuous learning.

Ideal Candidate Profile



  • Proven experience building and deploying AI/ML-driven applications, preferably in regulated or data-sensitive industries.


  • Strong fluency in Python and TypeScript, and a deep understanding of APIs, data schemas, and backend workflows.


  • Demonstrated ability to work independently on complex technical challenges while collaborating closely with business stakeholders.


  • Passion for AI/LLM exploration - you may have personal or open-source projects demonstrating your curiosity and skills.


  • Comfortable balancing innovation with compliance, privacy, and security best practices.

Technology Stack



  • Languages: Python, TypeScript


  • Frameworks: Next.js, LangChain


  • Cloud & Infrastructure: AWS Amplify, AWS Lambda, AWS Step Functions


  • AI Platforms: OpenAI, Anthropic, Google (Gemini / Vertex AI)


  • Data Formats: JSON, XML, CSV


  • Dev Tools: Cursor, Windsurf, Loom (for async walkthroughs)

Why This Role



  • Opportunity to lead the AI transformation inside a globally recognized financial firm.


  • Work with modern tech and real-world data at scale - no "labs" or theoretical models.


  • Stability of an established company with the agility of a focused innovation team.


  • Strong emphasis on professional development, autonomy, and technical excellence.
  • Fully flexible work from anywhere (UK)

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