Analytics Engineering Lead

2 мес. назад

United KingdomEuropeLeadHybrid

data modelingdata governancesqletlanalytics

Lead role focused on shaping data modeling, governance, and consumption to enable scalable analytics engineering solutions.

We’re the Group – home to , Greetz, Red Letter Days and Buyagift – and we’re on a mission to make people feel loved, celebrated and remembered. Whether it’s a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles. We’re proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart. Our platform makes it easy to create moments that matter – packed with personal touches and delivered with care. We’re not just about selling cards or gifts – we’re here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we’ve built a place where people (and ideas) can truly thrive. If you’re lookin

• Lead the planning and delivery of analytics engineering initiatives across business domains, aligning work with strategic priorities. • Own the delivery of scalable data models and datasets, coordinating contributions from other engineers where required. • Partner with stakeholders across Product, Marketing, Finance, Data Science, and Engineering to define requirements and shape solutions. • Challenge and influence stakeholders to drive scalable, sustainable, and high-impact data solutions. • Act as a technical leader for analytics engineering, promoting best practices in data modelling, testing, documentation, and governance. • Design and implement scalable, reusable data models using dbt and Snowflake. • Lead architectural decisions, balancing performance, cost, scalability, and usabil

Extensive experience in analytics engineering, data modelling, or related data disciplines, with a proven track record of operating across complex business domains. • Advanced SQL expertise, including complex data modelling, transformation, and performance optimisation. • Strong experience designing and maintaining scalable data models using dbt. • Proven experience working with Snowflake and modern cloud-based data platforms. • Deep understanding of analytics architecture, data governance, and scalable data design principles. • Experience writing clean, efficient Python code for automation and data processing. • Strong knowledge of Git and collaborative software development practices. • Ability to influence stakeholders and build strong cross-functional relationships. • Experience operati

• Data Stack: Snowflake, dbt, SQL, Python, Fivetran, Dagster, DataDog, Tableau. • Infrastructure: AWS (SageMaker, EC2, Lambda, Glue, S3), Terraform, API Gateway. • Collaboration Tools: GitHub, Jira, Confluence. • Analytics Tools: GA4, GTM, GCP BigQuery. We don't expect you to have experience with every technology listed above. We're interested in people who are excited to learn, collaborate, and help us continue evolving our data capabilities.
• Recruiter Screening Call • Hiring Manager Interview  • Technical Test • Final Interview with Wider Team Members Our process may vary depending on role and availability. We keep candidates informed of any changes.