Senior Data Engineer & Team Leader

Hi! We are Netguru. We help entrepreneurs and innovators shape the world through beautiful software. We’re looking for people to join our team and build a culture based on trust, taking ownership, and transparency. We offer a safe, inclusive, and productive environment for all team members. We respect and want to build on our diversity. We are a workplace open to adaptations. 

Over the past ten years, Netguru has changed the way people bank, listen to music, learn languages, and rent bicycles. Some of our clients include Fortune 500 companies and startups like solarisBank, Hive, Temi, and more. Netguru works with the largest brands in the world, such as Volkswagen, IKEA, and Keller Williams.

Our Machine Learning Engineers and Data Engineers help companies from the finance and insurance sectors to become more customer-centric. We use data engineering capabilities to improve processes that affect customer experience.Netguru-Biuro-2018-6984-2

How we work:

  • We focus on the finance and insurance sectors with use cases like recommender systems, churn prediction, and applications of NLP to customer support.
  • We conduct internal webinars to share knowledge in the fields of Machine Learning and Data Engineering.
  • We’re building an ML-Ops culture within our department and we want to extend that to the Data Engineering area.
  • We use AWS and GCP as our cloud providers.
  • We encourage our team to share knowledge and experience at external conferences.
  • We cooperate closely with the Machine Learning team.

Responsibilities:

  • Leading a team of great Data Engineers, building a culture and communication approach that is suited to the needs of the team.
  • Aligning the team’s goals with the departmental strategy.
  • Coaching and motivation of the team.
  • Close cooperation with the Machine Learning team to help our customers become more customer-centric.
  • Taking part in shaping the business, in particular our Data Engineering offering.
  • Conducting data audits.
  • Creating long-term data strategies.
  • Designing and implementing scalable data architectures.

Must-haves:

  • At least 3 years' practical experience in Data Engineering.
  • Experience in preparing data for Machine Learning projects.
  • At least 6 months’ experience as a team leader.
  • Ability to design and implement complex data pipelines and data infrastructures based on technical specifications for the purpose of collecting and curating data from internal and external data sources.
  • Proficiency in SQL.
  • Proficiency in scripting for automation with Python.
  • Knowledge and experience in designing and building DWHs and ETL processes.
  • Experience with Docker.
  • Experience working with relational and unstructured data, for example, PostgreSQL or MongoDB.
  • Experience with big data infrastructures (e.g. Hadoop, Spark, MapReduce).
  • Experience with at least one of the following cloud infrastructures: AWS, Azure or GCP.

Nice-to-haves:

  • Knowledge of the Scrum and Agile methodologies.
  • Willingness to help and mentor other developers.
  • Experience with event architectures and message-subscribe systems like Kafka.
  • Experience of working with Kubernetes.
  • Experience in software engineering – systems design, coding principles, and best practices.
  • Experience in Machine Learning.

Perks & benefits:

  • a private health insurance package with dental care,
  • a MultiSport card,
  • optional life insurance for you and your family,
  • individual growth budget for your educational plan,
  • additional accessories for your computer to make your work even more efficient and comfortable,
  • free breakfasts and co-financed lunches,
  • Team Retreats and Team Meetups,
  • & more!

If you want to read more about it check our 7 reasons to work at Netguru.

We are just getting started 🚀 Ready to face the challenge?

Click “apply now” button and join Netguru team!

PLN 12,500-18,750 + VAT (B2B)
or PLN 10,350-15,430 gross (UoP)
Deadline: ongoing
Poznań, Warszawa, Gdańsk, Kraków, Wrocław, Białystok, Katowice, Łódź, Rzeszów, Remote
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