JOB PURPOSEFastmarkets Data team is a new and dynamic function supporting the business in developing and delivering our data strategy through data, insights, and business intelligence. Highly valued by the business we are working hard to transform data function and ways of working.Reporting directly to the Data Platform &amp; AI Manager, we are seeking an experienced Data Engineer to step up into a senior role within our DataOps team. This is a fantastic opportunity for an internal candidate to grow into senior-level responsibilities at the start of our journey to bring Data, BI, Analytics, and Insights together into a high performing workstream in its own right.The Senior Data Engineer will operate in a dual capacity, splitting time approximately 50/50 between hands-on data engineering work and senior-level responsibilities. Beyond core technical delivery, this role introduces key senior responsibilities including team oversight, mentoring, and acting as a technical bridge between engineering teams and business stakeholders. The successful candidate will be instrumental in driving the creation and delivery of Level 2 (L2) data products for MI and Operational reporting teams, whilst continuing to contribute directly to technical delivery and fostering a collaborative, growth-oriented team culture.PRINCIPLE ACCOUNTABILITIESCore Data Engineering Responsibilities (~50%)<ul><li>· Design, develop, and maintain scalable and efficient data pipelines using Python, DBT, Dagster, and other relevant technologies (i.e. Fivetran, Airbyte, Meltano or similar)</li><li>· Build and maintain data transformation workflows using DBT, ensuring high-quality, well-tested, and documented analytics code</li><li>· Collaborate with data scientists, BI engineers, Data Analysts, and other stakeholders throughout the business to understand data requirements and translate them into technical solutions</li><li>· Optimize data workflows for quality, performance, reliability, and scalability</li><li>· Implement data quality checks and monitoring to ensure data integrity and reliability</li><li>· Embrace DataOps approach, delivering "data-as-code"</li><li>· Troubleshoot and resolve data pipeline issues in a timely manner</li><li>· Stay updated with the latest technologies and best practices in data engineering. Ability to recommend improvements to existing processes and systems</li></ul>Additional Senior Responsibilities (~50%)Team Oversight &amp; Technical Leadership<ul><li>· Provide technical guidance and oversight to data engineering team members, setting standards for code quality, architecture decisions, and best practices</li><li>· Conduct code reviews and provide constructive feedback to peers and junior engineers</li><li>· Facilitate knowledge sharing sessions and promote a culture of continuous learning</li><li>· Act as an escalation point for complex technical challenges</li><li>· Support the Data Platform &amp; AI Manager with technical input on prioritization and planning decisions</li></ul>Stakeholder Management &amp; L2 Data Product Delivery<ul><li>· Serve as key technical liaison between data engineering team and MI/Operational reporting teams</li><li>· Gather, analyze, and translate business requirements into technical specifications for L2 data products</li><li>· Lead the design and delivery of L2 data products that meet stakeholder needs for management information and operational reporting</li><li>· Manage expectations and communicate progress, risks, and dependencies to stakeholders</li><li>· Ensure delivered data products meet quality, performance, and usability standards</li><li>· Participate in roadmap planning and prioritization discussions with business stakeholders</li></ul>Mentoring &amp; Development<ul><li>· Lead onboarding process for new data engineers and junior team members</li><li>· Create and maintain onboarding documentation and learning materials</li><li>· Provide regular mentoring, coaching, and technical guidance to junior engineers</li><li>· Support team members in their professional development and skill building</li><li>· Foster an inclusive and supportive team environment that encourages growth and innovation</li></ul> KEY INTERFACES<ul><li>· Data Platform &amp; AI Manager</li><li>· Head of Cloud Engineering</li><li>· MI and Operational Reporting Teams</li><li>· Data Governance Manager</li><li>· BI Engineers and Data Analysts</li><li>· Data Engineering Team Members</li><li>· Business Stakeholders across Fastmarkets</li></ul>

Our price data, forecasts, and market analyses give our customers a strategic advantage in complex, volatile and often opaque markets. Our events provide immersive experiences to network, trade and discuss the critical issues of the day.
Lithium Hangar Holdco Limited is the ultimate holding company for the Fastmarkets group of companies. Lithium Hangar Holdco Limited (14476245) is a company registered in England and Wales and is controlled by funds managed and/or advised by Astorg. Astorg is a European private equity firm with over &euro;20 billion of assets under management.

Senior Data Engineer

JOB PURPOSEFastmarkets Data team is a new and dynamic function supporting the business in developing and delivering our data strategy through data, insights, and business intelligence. Highly valued by the business we are working hard to transform data function and ways of working.Reporting directly to the Data Platform &amp; AI Manager, we are seeking an experienced Data Engineer to step up into a senior role within our DataOps team. This is a fantastic opportunity for an internal candidate to grow into senior-level responsibilities at the start of our journey to bring Data, BI, Analytics, and Insights together into a high performing workstream in its own right.The Senior Data Engineer will operate in a dual capacity, splitting time approximately 50/50 between hands-on data engineering work and senior-level responsibilities. Beyond core technical delivery, this role introduces key senior responsibilities including team oversight, mentoring, and acting as a technical bridge between engineering teams and business stakeholders. The successful candidate will be instrumental in driving the creation and delivery of Level 2 (L2) data products for MI and Operational reporting teams, whilst continuing to contribute directly to technical delivery and fostering a collaborative, growth-oriented team culture.PRINCIPLE ACCOUNTABILITIESCore Data Engineering Responsibilities (~50%)<ul><li>· Design, develop, and maintain scalable and efficient data pipelines using Python, DBT, Dagster, and other relevant technologies (i.e. Fivetran, Airbyte, Meltano or similar)</li><li>· Build and maintain data transformation workflows using DBT, ensuring high-quality, well-tested, and documented analytics code</li><li>· Collaborate with data scientists, BI engineers, Data Analysts, and other stakeholders throughout the business to understand data requirements and translate them into technical solutions</li><li>· Optimize data workflows for quality, performance, reliability, and scalability</li><li>· Implement data quality checks and monitoring to ensure data integrity and reliability</li><li>· Embrace DataOps approach, delivering "data-as-code"</li><li>· Troubleshoot and resolve data pipeline issues in a timely manner</li><li>· Stay updated with the latest technologies and best practices in data engineering. Ability to recommend improvements to existing processes and systems</li></ul>Additional Senior Responsibilities (~50%)Team Oversight &amp; Technical Leadership<ul><li>· Provide technical guidance and oversight to data engineering team members, setting standards for code quality, architecture decisions, and best practices</li><li>· Conduct code reviews and provide constructive feedback to peers and junior engineers</li><li>· Facilitate knowledge sharing sessions and promote a culture of continuous learning</li><li>· Act as an escalation point for complex technical challenges</li><li>· Support the Data Platform &amp; AI Manager with technical input on prioritization and planning decisions</li></ul>Stakeholder Management &amp; L2 Data Product Delivery<ul><li>· Serve as key technical liaison between data engineering team and MI/Operational reporting teams</li><li>· Gather, analyze, and translate business requirements into technical specifications for L2 data products</li><li>· Lead the design and delivery of L2 data products that meet stakeholder needs for management information and operational reporting</li><li>· Manage expectations and communicate progress, risks, and dependencies to stakeholders</li><li>· Ensure delivered data products meet quality, performance, and usability standards</li><li>· Participate in roadmap planning and prioritization discussions with business stakeholders</li></ul>Mentoring &amp; Development<ul><li>· Lead onboarding process for new data engineers and junior team members</li><li>· Create and maintain onboarding documentation and learning materials</li><li>· Provide regular mentoring, coaching, and technical guidance to junior engineers</li><li>· Support team members in their professional development and skill building</li><li>· Foster an inclusive and supportive team environment that encourages growth and innovation</li></ul>&nbsp;KEY INTERFACES<ul><li>· Data Platform &amp; AI Manager</li><li>· Head of Cloud Engineering</li><li>· MI and Operational Reporting Teams</li><li>· Data Governance Manager</li><li>· BI Engineers and Data Analysts</li><li>· Data Engineering Team Members</li><li>· Business Stakeholders across Fastmarkets</li></ul>

Senior Data Engineer

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Fastmarkets Ltd

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