Analytics Principal Engineer

Let's start with the role

We’re looking for an Analytics Principal Engineer to join our Analytics teams. You will help teams devise elegant and performant solutions to real business problems, guide them in designing and implementing these solutions in code, teach coding, testing, and performance analysis techniques, while also carrying out code reviews. You will frequently attend teams' scrum events (especially refinements) and help teams' product owners better understand of the technical challenges involved. Production problems are usually escalated to the Principal Engineer for triaging before landing in a team's backlog. Principal Engineers should also stay up to date on the latest technologies and drive their adoption.

Our Analytics team(s) has expertise in several fields including, but not limited to, Databricks,/ Delta Lake,/ SQL Server,/ Azure Data Warehouse, SSRS, and SSIS.

As an Analytics Principal Engineer you will:

• Lead team enablement initiatives;
• Orchestrate plans by motivating other team members and collaborating closely to achieve them;
• Break efforts down and guide the reporting engineers through gaps to lead them to sound technical solutions;
• Share technical expertise and knowledge sharing. Present practices, innovations, and inventions inside and outside of the organization;
• Partner with management to find new potential talent;
• Mentor engineers to take them to the next level of their careers;
• Set up cross-organization engineering best practice standards and guidelines. Create a culture where contribution patterns and quality are paramount. Partner closely with teams to implement these standards.

What you’ll bring

• Hands-on experience in writing complex, highly optimized SQL code for data manipulation and reporting;
• Solid experience in ETL/ELT, Data Modeling, Data Warehouse Architecture and Reporting tools;
• Knowledge of Data Governance;
• Good people skills;
• Team player, analytical thinker and problem solver, with ability to self-organize;
• Fast learner - you will need to get up to speed on business, people and teams, infrastructure and the technologies used, as quickly as possible.

Nice to have:

• A bachelor's degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent industry experience;
• Experience in the Microsoft BI stack (SQL Server, SSRS, SSAS);
• Experience with Azure Data platforms such as Synapse Analytics, Data Lake, Databricks; 
• Experience in programming languages preferable in Python or Scala;
• Exposure to CI/CD;
• Exposure to an Agile team-working environment.

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay & bonus scheme
• 👩‍⚕️ Private health insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training

#LI-Hybrid