Lead Data Engineer

Strativ Group; Greater London; Remote; GBP 60,000 - 80,000

Job description

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Role: Data Lead (Hands on and Business/Strategy focused) - Growth Team

Location: Fully Remote. Can only hire folk who live in the UK

Does working in a data-driven, Series A company where you would work directly with the COO & drive the business forward via data sound exciting? Are you truly connected to business outcomes, but love being hands on with a small team? Enjoy working across the full data stack? Then read on....

You would join a series A CDE who have created a cloud based solution to help technical folk create software more efficiently. Having just launched a new product, your work closely with engineering, sales and customer experience to shape ensure the full data-stack, infrastructure, and insights are fit for purpose, to drive business impact, GTM Strategy and Operational Efficiency.

The business culture thrives on ownership, so you have the opportunity to shape the data strategy + architecture, advance data maturity and grow with the business.

The role:

• Focus on a full audit of the data stack, with the view to modernise and implement quick wins
• Own Data Ingestion, Warehousing, Analytics & Visualisation with scalability, reliability + cost efficiency in mind
• Add onto self service analytics capabilities
• Data Eng Best Practises - Monitoring, Testing, Disaster Recovery, Documentation + make them scalable + reusable
• Work with GTM to track customer behaviour and lead enrichment pipelines to ensure insights are in the right places

Stack they work with: BigQuery, DBT, Segment, Prefect, Census, Mixpanel, Hex, Metabase

Yourself:

• Experience being an initial owner of a data function, in a fast-growing startup or scale-up environment
• Owned Product Data in a SAAS or Similar Environment
• Built or significantly evolved data platforms that directly supported business growth
• Track record of successfully wearing multiple hats across the data stack - from data engineering to analytics.
• Experience with modern data stack tools like dbt, Prefect, Census / other orchestration and reverse ETL tools, modern warehouses (ideally BigQuery)
• Background working with product analytics and data from multiple other first/third party data sources, experience building up a customer data platform
• Evidence of stakeholder collaboration and business impact - driving business outcomes, team enablement, or improved decision-making processes

If you are connected to business outcomes and can demonstrate you have significantly evolved a data function of a SaaS business, please email me directly with your CV to [e-mail] - there have been a lot of applications for the role.

Note - this role is not suited for folk heavily focused on Data Governance, Financial data etc. This is more focused on business growth

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Industries
• Software Development