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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Manager (Data Platform & Analytics Engineering) - **Company:** Kaluza Ltd. - **Location:** London, UK - **Salary:** £95,000.0 - £120,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Mart, Dimensional Modeling, Github, Python (Programming Language), Operational Databases, DataOps, SQL Databases, Tableau (Software), Business Intelligence Development Studio, Data Management, Data Pipelines, Databricks - **Published:** July 11, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=58b5188822dabf1e ## About the Role * People-First Leader: You are passionate about developing others and helping people become the best version of themselves, with a strong focus on Diversity, Equity, and Inclusion. * Experienced Manager: You are a dedicated leader who enables collective success and has experience leading data-oriented teams of engineers. * Technical Expert: You can draw on significant experience in data and analytics engineering to deliver high-quality, actionable data pipelines. * Architectural Mindset: You have experience designing and building data pipelines, strategic data architectural decisions, and high-quality "data mart" objects across functions like product, finance, or strategy. * Pipeline Specialist: You possess extensive experience in engineering robust ETL/ELT processes and data pipelines, with a focus on curating, transforming, and publishing data. * Data Governance Focused: You have solid experience in implementing data models, master data management, and data quality rules. * Strong Communicator: You have excellent presentation skills and can articulate results clearly to both technical and non-technical senior stakeholders. * Stack Proficient: You have experience working with a modern analytics stack, including SQL, GitHub, Python, BI tooling (e.g., Tableau), and native cloud services like AWS or GCP., Orchestration Mastery: Deep experience with data orchestration tooling such as dbt or dataform. * Platform Specifics: Hands-on experience with Databricks. * Modeling Expertise: Practical knowledge of Kimball's dimensional modeling. ## Description As an Engineering Manager, you will be responsible for managing engineers and product analysts who work in our Data Platform team, product or business functions within the wider organisation. You will assist your team in the scoping, planning and delivery of data engineering and analytics engineering projects, assuming accountability for their execution, and flexing your time as you see necessary. You will introduce thought-leadership on how to deliver excellent analytical and data engineering to the wider practice and contribute to cultivating a positive Kaluza community. It's an exciting time currently at Kaluza to contribute to our future state architectural decisions with the opportunity to shape our data estate to represent the best analytical engineering practices. Responsibilities: * Staff Management: Lead the Data Platform and Analytics Engineering teams. * Project Leadership: Scope and lead data engineering projects across the platform, providing technical support where needed. * Technical Excellence: Drive the design and building of new data models and production data pipelines. * Community & Collaboration: Align with data leads across the organisation to improve collaboration and ways of working. * Operational Health: Take ownership of security, risk, compliance, and incidents relating to the Data Platform. * Agile Delivery: Ensure teams continuously improve quality and velocity through Agile methodologies and recruitment. * Stakeholder Management: Collaborate with product management to prioritise work based on business impact and urgency. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [CI/CD with Github Actions](https://www.wearedevelopers.com/videos/856-ci-cd-with-github-actions) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)