Senior Data Engineer&Team Leader
14,000 - 20,000
11,700 - 16,700
Senior Data Engineer&Team Leader
Hi! We are Netguru. We help entrepreneurs and innovators shape the world throughbeautiful 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 onour 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 likesolarisBank,Hive,Temi, and more. Netguru works with the largest brands in the world, such asVolkswagen,IKEA, andKeller Williams.
We are a growing team of machine learning and big data experts. As an industry-agnostic agency, we are like a Swiss Army knife ready to translate any business problem into a data and machine learning solution. We focus on building our competencies around data warehouses and data lakes, stream and batch data processing, deep learning, natural language processing, and computer vision. Together with our product design and software engineering teams, we are a one-stop-shop in delivering data and ML products with experience in finance, retail, and healthcare.
Joining Netguru means:
Working in an experienced and knowledgeable team, in an Agile environment.
Growing yourself and people around you- you will give and receive regular feedback in a team of open-minded people that will always have your back.
Ambitious and verified projects- our clients come from all over the world and from different industries.
Enjoyingflextimeandflexplace: adjust your daily schedule to your individual needs, work from the office or from home.
Working on the best equipment – we will provide you with a Macbook and additional accessories for your computer to make your work even more efficient and comfortable.
How we work:
We focus on the finance, retail, and healthcare sectors with use cases like investment optimization, semi-automated data mapping, lead scoring.
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 members to share their knowledge and experience at external conferences.
We cooperate closely with the Machine Learning team.
Leading a team of great Data Engineers, building a culture and a communication approach that is suited to the needs of the team.
Close cooperation with the Machine Learning team.
Taking part in expert calls with clients.
Providing input for client proposals.
Conducting data audits.
Creating long-term data strategies.
Designing and implementing scalable data architectures.
At least 3 years' practical experience in Data Engineering.
At least 6 months’ experience as a team leader/mentor.
Strong experience with S3 + Athena/Presto and Redshift/Redshift Spectrum.
Hands-on experience with at least 2 of the following: AWS Glue/EMR or Kinesis/Kafka or ELK stack or Lambdas.
Experience in designing data lakes - from structuring to managing and optimization.
Knowledge of data storage formats (Parquet, ORC, AVRO, etc.).
Experience with Python and Linux and shell scripting.
Familiarity with relational databases like Oracle, PostgreSQL, MySQL.
Advanced SQL writing skills.
A strong command of written and spoken English (CEFR B2+).
It would be a plus if you have:
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:
Generous private health insurance package with dental care.