Senior Analytics Engineer (dbt & Looker)

At Datatonic, we empower businesses with cutting-edge data and AI solutions in the cloud. Collaborating closely with Google Cloud, we propel our clients to push the boundaries of cloud technology. Built on the robust foundation of the Google Cloud, our solutions enable businesses to fortify their strategies for the future, enhance consumer insights, gain a competitive edge, and streamline operational efficiencies.

Our team consists of experts in architecture, machine learning, data science, data engineering, business intelligence, and design. We all share a passion for data, believe in a pragmatic approach to solving hard problems, and believe that with the right team and technology, data has the power to transform any business.

The role:

Senior Analytic Engineers at Datatonic work on various types of engagements involving the Modern Data Stack. They bring their expertise on our technologies of choice: dbt, Looker,  Snowflake, BigQuery, Google Cloud. They lead engagements with our clients, working hand-in-hand with the Delivery Manager while supporting the team and contributing to the code when necessary.

You will work alongside:

+ BI Analysts: Responsible for designing, building and maintaining analytics solutions, with a primary focus on business unit-specific data marts, self-service data models, and building front-end analytical visualisations/reports (typically Looker), and training business users.

+ Architects: Responsible for designing the solution and data architectures. data architects design the end-to-end business intelligence solutions with a focus on designing the most optimal data model and architecture solution.

+ Data Engineers: Responsible for building applications which connect systems, collect data, process that data into a useful format. Often this data is ‘big’ and requires distributed frameworks to move and process. A data engineer is a key cog in a data platform as they look after the acquisition of data for analytics, and connecting the output of analytics to operational systems.

Qualifications:

• 4+ years of experience in a data role (Data Engineer, Data Analyst, Analytics Engineer, etc.)
• Hands-on experience with dbt, a modern Data Warehouse like Snowflake or BigQuery and Kimball modeling
• Natural ability to manage multiple initiatives and clients
• Proficiency in writing analytical SQL and understanding of the difference between SQL that works, and performant SQL
• Experience translating business requirements into technical solutions
• Ability to communicate complex ideas in a simple way to a wide range of audiences
• Experience in managing small teams and general passion for line management 
• Complete alignment with our culture of transparency, empathy, accountability and performance

Bonus points:

• dbt Developer certification
• Google Cloud Professional Data Engineer certification
• Snowflake’s Snowpro Certification
• Experience with Scrum Methodology

Your core goals as an Senior Analytics Engineer are:

• Build the foundation on top of which our analytics and data science teams will build innovative, impactful solutions with our clients;
• Help our clients migrate existing business intelligence and data warehouse solutions to Google Cloud;
• Design and build brand new data warehouse & data mart solutions for our clients;
  •      Transforming, testing, deploying, and documenting data
  •      Understand data modelling techniques
  •      Understand optimisation and storage for warehouse technology
• Work closely with our tech partners: Google Cloud, Snowflake, dbt and Looker, in understanding their tech inside out and forming a network with their engineers
• Work in an agile and dynamic environment together with our data engineers, BI analysts, data scientists, and machine learning experts.
• Apply software engineering best practices to analytics; version control, testing and continuous integration.

Benefits:

The Basics: 25 days holiday + bank holidays, Private Healthcare, Discounted Gym Membership (Nuffield + Hussle), Life Insurance, Income Protection, Employee Assistance Program, Pension Scheme 3% employee contribution on qualifying earnings, rising 1% per year of service to max 10%.

Extras: £100 home equipment allowance, Cycle to Work & Tech Scheme

Learning: Datatonic encourages continuous learning at all levels, with the freedom to explore the latest tools & technologies. You will receive an individual training budget and/or conference allowance

Team: Career Development, Impact, Innovation. A personalised development plan to ensure you hit your professional goals with a clear roadmap for progression. Experiment and bring forward ideas, create impactful and meaningful work in a creative & collaborative environment – even just for fun!

Office: A modern, collaborative, working space set in the innovation hub of Canary Wharf with panoramic views of London. Plus regular social events & team off-sites.

Datatonic is an equal-opportunity employer. We’re committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, colour, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. Our current team is made up of folks from very different backgrounds, including a former librarian, oceanographer and comic bookstore owner! If you are on the fence about whether you meet our requirements, we encourage you to apply anyway. Please reach out to us directly at [email protected] if you need assistance or accommodation due to disability.