Data Engineer at heycar

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

0.0

Posted On

05 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Engineering, Cloud Data Platforms, Data Modelling, Data Governance, dbt, SQL, Data Transformation, Data Pipeline Tools, Agile Methodologies, Problem Solving, Stakeholder Management, Collaboration, CI/CD Pipelines, Version Control, Data Quality

Industry

Software Development

Description

Since August 2019, we’ve been making it easier for customers to find the right vehicle, and for automotive retailers to sell them. More recently, we’ve been on a journey… In June 2025 we were acquired by Volkswagen Financial Services UK (VWFS UK) and our mission is simple: build the right tech solutions for Volkswagen Group UK and its retailers, so they can deliver the best possible experiences to their customers. We’re a mix of problem-solvers, innovators, and team players who care about doing great work and making a difference. We thrive on collaboration, innovation, and a shared commitment to excellence. We deliver impactful solutions at pace that put the customer at the centre. If you're looking for a meaningful challenge, and want to help shape the future of automotive experiences, then read on… About the Role : We are seeking a highly skilled Data Engineer with strong data architecture expertise, who can design and implement scalable data solutions, build dbt projects from scratch, and collaborate closely with product and business teams to deliver impactful data products. This role requires a combination of hands-on engineering, strategic planning, and cross-functional project leadership. What you’ll do: Data Architecture & Engineering Design and own the end-to-end data architecture, ensuring scalability, performance, security, and cost efficiency. Build and optimise data pipelines using modern cloud data platforms (Snowflake, BigQuery, Redshift, or similar). Implement best practices for data modelling (star/snowflake schemas, data vault, etc.). Design and maintain a robust data governance strategy, including data quality, cataloging, and lineage. dbt Project Ownership Plan, architect, and implement dbt projects from scratch — including defining models, macros, config strategies, and testing frameworks. Establish dbt project conventions, folder structures, and documentation standards. Build reusable transformation frameworks, implementing CI/CD pipelines and version control (git). Collaboration & Data Project Delivery Work closely with product managers, data analysts, and business stakeholders to understand requirements and translate them into technical solutions. Lead roadmap planning for data products, including timelines, milestones, and resource planning. Communicate technical concepts to non-technical stakeholders and provide data-driven recommendations. Support analytics and reporting needs through well-designed semantic layers and metrics. What you’ll need: 4+ years of experience as a Data Engineer, Analytics Engineer, or Data Architect. Proven ability to design and implement cloud-based data architectures (AWS, GCP, Azure). Expert proficiency in dbt, SQL, and data transformation frameworks. Strong experience with data modelling, warehouse design, and ELT/ETL development. Proficiency with data pipeline tools (Airflow, Fivetran, Stitch, Dagster, etc.). Experience collaborating with product and business teams on data initiatives. Solid understanding of modern data stack and MDS principles. Strong problem-solving mindset and ownership attitude. Excellent communication and stakeholder management skills. Ability to work in agile, cross-functional teams. Strategic thinker with an eye for data scalability and sustainability. Nice to Have Experience with Python for data workflows. Familiarity with BI tools (Hex, Looker, Tableau, Power BI, Mode). Knowledge of MDM, data governance frameworks, or data catalog tools. Exposure to event-driven architectures and streaming platforms (Kafka, Kinesis). What we’ll give you: Compensation: We offer a competitive salary + performance based bonus Holidays: We want you to relax, you’ll have 28 days off (plus bank holidays) throughout the year. We also give you an extra day off to enjoy your birthday! Benefits + Perks: With private medical insurance, learning and development opportunities and mental health support we’ll give you the extra boost. Hybrid Working: We have a flexible working culture here at heycar. With hybrid working in our offices in Holborn (London) and working from home days. Feedback: You'll be joining more than just another scale up - our team are at the heart of everything we do; here we don’t leave things unsaid, we encourage honest feedback. A Challenge: Fast paced but not fraught. So we need you to keep up, push back and question where you see fit. Fun: We provide a fully stocked kitchen and bar, an awesome office environment and epic socials. If you’re ready to work with a creative, high-performing group of people we want to hear from you. Please apply directly to this role. Contact : Reece Jagger for more details.

Responsibilities

The Data Engineer will design and own the end-to-end data architecture, ensuring scalability, performance, security, and cost efficiency. They will also build and optimize data pipelines and collaborate closely with product and business teams to deliver impactful data products.