Data Engineering Manager

Derivco is looking for a **Data Engineering Manager** to lead our **Data\-Hub** team — the data engineering function responsible for the full data journey, from collection at source, through staging, to enrichment and aggregation for use in product and financial reporting. This is a hands\-on leadership role for someone who can partner with the team's senior engineers and data architect to set strategic direction, then drive execution against real milestones. Data\-Hub sits at the centre of the business — a wide range of technical and business stakeholders consume what your team produces, plus a close working relationship with our sister analytics team, who deliver analytics to the broader business. That means great exposure, but also means credibility is everything: you'll earn it by consistently meeting commitments and managing stakeholders well when challenges arise. A data engineering background will stand you in good stead, both to lead the team's technical direction and to act as a credible sounding board when they need one. **The Opportunity Right Now** Your first priority will be getting to know the team, the data flows, and the stakeholder landscape. From there, you'll help lead one of Data\-Hub's most significant initiatives: extending our existing Snowflake data warehouse capability, moving our primary data warehouse off a daily SQL Server ETL process and onto near\-real\-time Snowflake pipelines. It's ambitious, high\-visibility work that will stretch your leadership abilities — but you won't be doing it alone, with a dynamic peer leadership group and the wider leadership team there to support you. Longer term, Data\-Hub is working towards unlocking true business insights in near\-real time, delivered through both traditional reporting and AI self\-service channels, alongside the sister analytics team. Derivco has also leaned heavily into AI to expand what our teams can do — including a move towards autonomous AI team members — so this role offers real scope to grow your own capability in applying AI within the technology space. **What You'll Do** **Lead and grow the team** * Manage and mentor the Data\-Hub engineering team, partnering with senior engineers and the data architect to set strategic direction and translate it into executable milestones * Identify skill gaps, coordinate training, and establish technical focus areas for team members * Act as a technical sounding board and decision\-support resource, drawing on your own data engineering background **Own delivery and operational excellence** * Prioritise and coordinate competing demands from a wide range of technical and business stakeholders * Implement data validation, documentation standards, and quality protocols so pipelines are accurate, replicable, and supportable * Drive process improvement and automation initiatives across the data flow, from source collection to staging and aggregation **Manage budgets, contracts, and vendors** * Take financial accountability for the function, including budget forecasting, cost control, and transparent reporting * Oversee contract renewals and vendor relationships for data platforms and tools, negotiating cost\-effective terms **Provide technical leadership** * Maintain oversight of the team's technology stack across data warehousing, pipeline orchestration, and scripting languages * Evaluate new tools and methodologies, and guide solution design decisions across the data platform **Partner with the business** * Build strong working relationships with the many technical and business consumers of Data\-Hub's output * Work closely with the sister analytics team, supporting them with routine reporting and the medallion data architecture that underpins it * Translate technical capability into business outcomes and communicate clearly with both technical and non\-technical stakeholders. **What You'll Bring** * Bachelor's degree with Honours in Data Science, Statistics, Computer Science, Mathematics, or a related analytical field * 8–10 years of progressive experience in data engineering, data analysis, or operations analytics, including experience leading a team * A data engineering background, with credibility to guide technical direction and act as a sounding board for senior engineers * Solid experience with budget management, contract/vendor negotiation, and financial reporting * Strong stakeholder management skills, with a track record of building credibility through consistent delivery * A track record of mentoring engineers/analysts and building team capability. **What Derivco Offers** * The chance to lead a high\-visibility data engineering function at the heart of the business, with real influence over strategic direction * A dynamic, committed team, peer leadership group, and wider leadership team invested in your success * Genuine scope to grow your own capability applying AI in the technology space * A competitive, market\-related remuneration package. **Closing Date: 28 October 2026**