Engineering Manager (Data Platform & Analytics Engineering)

Kaluza; West of England; On-site; GBP 60,000 - 80,000; Full time

Job summary

Deepstreamtech in Bristol is looking for an Engineering Manager to lead their Data Platform and Analytics Engineering teams. You will be responsible for managing engineers, ensuring the delivery of data engineering projects, and driving the design of data models and production pipelines. Your role will involve collaboration across the organization to improve data practices and governance, while reporting directly to the Head of Data Science & Products. Join a dynamic team dedicated to leveraging data insights for impactful decision-making.

Qualifications

• Proven experience managing data-oriented teams.
• Strong ability to translate complex data insights to stakeholders.
• Solid background in implementing data governance and quality rules.

Responsibilities

• Lead the Data Platform and Analytics Engineering teams.
• Scope and manage data engineering projects across the platform.
• Drive design and building of new data models and pipelines.
• Collaborate with product management for prioritization.

Skills

People-First Leadership

Technical Expertise in Data Engineering

Excellent Communication

Experience with Modern Analytics Stack

ETL/ELT Processes

Tools

SQL

GitHub

Python

Tableau

AWS

GCP

Databricks

Job description

Requirements

• 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
• (Desirable) Orchestration Mastery: Deep experience with data orchestration tooling such as dbt or dataform
• (Desirable) Platform Specifics: Hands-on experience with Databricks
• (Desirable) Modeling Expertise: Practical knowledge of Kimball’s dimensional modeling

What the job involves

• You will be joining the Kaluza Data community. Data is the foundation of everything we do as an organisation, and to deliver our vision we need curious, tenacious people who can turn this data, and their knowledge, into insight, strategy and actions
• You’ll be working on the Kaluza platform. This is a technology platform that aims to revolutionise the operating platforms for energy retailers globally
• This platform is being built with globalisation and regionalisation in mind and is the foundation for decarbonisation efforts by Kaluza’s customers
• We are looking to transform to an international ready model to help the business take on new challenges and external customers
• More specifically, you will join our Data leadership team, working directly to Kaluza’s Head of Data Science & Product, and will be the lead for the Data Platform team as part of this
• The Data Platform team lies at the epicentre of Kaluza’s evolving data & architecture strategy - they build and own the infrastructure, tooling and governance for Kaluza's internal data pipeline, from data ingestion, data cataloguing to data storage and exposing data externally
• 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
• 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
• Reporting to: Head of Data Science & Products