Analytics Engineer

Build Measure Learn Sweden is looking to expand with a Analytics Engineer to join a team at one of our customers. We are a data analytics & engineering consulting company that is expanding to meet market demand (assignments at clients) and to achieve our mission of playing an impactful part in helping companies in Sweden on their journey to become data-driven.

Are you skilled at data engineering and feel that it is time to shift context to continue your growth? Would you like colleagues that are best-in-class and humble about it? We will find a great match between you and assignment where both you and the client benefit. Our clients are in need of help in having data guide their decisions, democratizing data and using data to power everything.

We seek you that love everything about data. You love solving complex data processing problems, building large-scale batch and real-time data pipelines and designing high quality data sets. You are knowledgable and passionate about building and improving and building data platforms that power reliable and impactful data products. You are data-centric and can likely morph between a Data Engineer and Data Scientist. You want to develop your career at a growing company and work with a massive amount of data-points.

WHAT YOU’LL DO

• Solve complex data processing problems for clients, making an impact across unlimited domains and industries (digital products, banking, insurance, finance, health, e-commerce, marketing, etc.)
• Create new datasets for analytics capabilities
• Maintain data warehouse and associated pipelines which process large amounts of data per day
• Optimize data delivery and re-design infrastructure for greater scalability
• Build analytics tools to provide insights into data health and accuracy
• Maintain and improve data catalogs
• Collaborate with stakeholders to collect business requirements and define successful analytics outcomes
• Advocate for data quality, data governance, and data product thinking
• Raise our customers technical excellence with clean code, thoughtful pull request reviews and mentoring others

WHO YOU ARE

• 3 - 7 years of experience of demonstrable experience building and maintaining large data warehouses
• Demonstrated ability to design, build and maintain complex data services
• Proficient at building datasets that are accurate and easy to understand and consume
• Spark in Scala and/or Python
• SQL and Relational Databases
• Ability to be committed to the end result and help others gets there
• You write code daily (Python or Scala)
• Enjoy agile development and fluent in continuous Integration and delivery using Git
• Fast learner, self-starter and intellectually curious
• Fluent in English
• Willing to learn, or already know, basic Swedish

IDEALLY, YOU WILL HAVE

• Experience shaping and evolving data architecture
• Knowledge of one or more business domains
• Based near Stockholm or Gothenburg (or willing to relocate to Gothenburg or Stockholm)

Bonus points for:

• Community involvement with open source contributions
• Experience building data and analytics organizations
• Knowledge of advanced statistical analysis techniques
• Familiar or skilled with machine learning

WHY JOIN US?

• Interesting and forward-looking assignments within fintechs, e-commerce companies and digital startups / scale-ups
• Collaborative, transparent, creative and fun loving culture which you will be involved in shaping
• Opportunities for personal and professional growth
• Investment in your competence development in latest skills & technologies
• An international team (including our partner network) ~6 nationalities so far
• Competitive salary
• Learning & sharing environment - colleagues skilled in their areas and that enjoy knowledge sharing
• Have a mid/long term plan of becoming a freelancer? We'd like to be a part of that and help you towards that goal.
• Company parties & team activities
• Opportunities to have global impact with your work

How to apply:

If you fit the description above, we’d love to hear from you! Email us at: [email protected]

We’re looking forward to your application!

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