Senior Data Engineer

In the Data Science department we combine talent of people experienced in DE, DS, ML, BI and analytics, certified in AWS, GCP, Snowflake and more. We provide our clients with cutting edge data solutions fulfilling their needs, which involves offering our support in building PoC’s, creating architectures, defining project scopes and building complex data systems from scratch. 🚀

Joining Netguru as a Senior Data Engineer means:

• unique opportunity to be a part of a Data Science department in Netguru, one of the fastest growing companies in Europe,
• working with a cross-functional team of software engineers, application/UI engineers, ML engineers, QAs, and designers,
• sharing knowledge and best practices with the organization & team,
• diversity of challenges in our 90+ projects,
• owning the development of data processing architectures and projects,
• connecting the Data Engineering world with other IT teams.

Learn more about the additional support we offer for Ukrainian citizens or those who have decided to relocate to Poland due to military action in Ukraine (regardless of their nationality) - click here. We hope that this assistance will help you feel safe and welcomed in our country.

If you want to read more, check out our 7 reasons to work at Netguru.

If you need any disability-related adaptation at any step of the recruitment process – simply let the recruiter know! We'd be happy to help.

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

Requirements

Must-haves for this position

If you’re experienced with DE open source solutions:

• event-driven architectures & pub-sub systems like Kafka,
• data processing with Spark framework with batching and streaming concepts,
• orchestrations and scheduling tools (e.g. Airflow),
• noSQL databases engines (e.g. Cassandra, Neo4j, MongoDB, ELK),

If you’re experienced with commercial DE solutions:

• big data infrastructures (e.g. Cloudera, Confluent, Databricks),
• data warehouses (e.g. BigQuery, Redshift, Snowflake),
• ETL low-code/no-code tools (e.g. Matillion, Talend),
• advanced experience with SQL,

Also, we’d expect from you:

• at least 3 years' practical experience in Data Engineering,
• knowledge & experience in data processing solutions (e.g. data lakes, data lakehouses, DWHs)
• experience with at least one of the following cloud infrastructures (AWS, Azure, GCP) and IaaC experience (e.g. terraform, Cloud Formation),
• experience in creating data architectures (data lakes, lambda, kappa) with strong responsibility from scratch,
• experience in programming with: Python or Scala,
• experience working with structured and unstructured data (AVRO, Parquet, JSON),
• practical experience with CI/CD, code coverage, code testing methodologies, OPP, functional programming, design patterns in software development,
• knowledge of Scrum and Agile methodologies,
• willingness to help and mentor other developers,
• familiarity with containerization (Docker, Kubernetes).

Benefits

Perks & benefits:

• Sponsored AWS Certified Solutions Architect training and certification exam,
• Sponsored SnowPro Core Certification Exam and access to training materials,
• Access to the WorkSmile platform offering benefits adapted to your preferences:
  • Multisport card,
  • Private health insurance package,
  • Life insurance,
  • And hundreds of other options to choose from 15 categories (shopping, leisure, travel, food, etc.)
• Support for your growth - a head/manager’s budget available to every employee,
• Discounts on Apple products,
• One-time 1000 PLN home office bonus,
• Various internal initiatives: webinars, knowledge sharing sessions, internal conferences.