Engineering Manager - Analytics Engineering

July 25

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Creating strategic value through advanced analytics.

Data Science • Data Analytics • Product Development • Location Intelligence • Innovation

51 - 200

Description

• Oversee the work of a cross-functional data team to build scalable data solutions • Architect data engineering and model engineering solutions, ensuring they are extendable, maintainable and follow best practices • Deliver against an analytical workplan and the Analytics Engineering strategy by managing multiple projects and workstreams to a high standard • Manage client relationships with technical or SME stakeholders, preparing technical documentation where required • Act as a key contributor on the most complex of features across the project portfolio • Analyse existing data architectures and provide advice on how to develop effective data connectors, ETL/ELT processes and data warehouses / datacubes • Lead work-streams and delegate key priorities effectively • Lead and support your line managees and others in the team, both in their technical delivery and personal development • Responsible for managing team meetings and overall team governance, ensuring solutions are well documented, and built to relevant technical standards • Works with the Head of Engineering and SLT to deliver an Analytics Engineering team strategy, planning out team OKRs and relevant growth and process improvement

Requirements

• Advanced coding skills in Python with experience with Numpy/Pandas • Apply software engineering best practices like version control and CI/CD • High level of commercial awareness and business acumen for client interactions • Experience with relational database design for data warehousing and advanced ability in SQL • Strong knowledge of Cloud platforms such as AWS, Azure and GCP • Understanding of non-relational database design (e.g. MongoDB) • Demonstrable experience of leveraging data to deliver value-driving insights for businesses e.g. predictive modelling, automated reporting, etc. • Bachelor's degree in a STEM field (Science, Technology, Engineering, or Mathematics) is preferred

Benefits

• £6,000 per annum training & conference budget to help you upskill and develop your career • Top tier Private Healthcare with Vitality on us • Numerous perks, discounts, and rewards with major retailers, gym memberships, technology, and travel partners • Participate in our Share Options scheme from day one • Ability to work from abroad for up to one month each year • 25 days of annual leave (not inclusive of Bank Holidays) • Pension scheme • Cycle to work scheme • Plenty of socials, dinners, and fun nights out • A fully stocked supply of breakfast, fruit, and refreshments for the days when you are in the office