Data Engineer

Description

Datumo specializes in providing Big Data and Cloud consulting services to clients from all over the world, primarily in Western Europe and the USA. Core industries we support include e-commerce, telecommunications and life science. We create dedicated solutions using a variety of tools. Our team consists of exceptional people whose knowledge and commitment allow us to conduct highly demanding projects.

Is the world of Big Data and Cloud a place where you spend time with pleasure? Are you looking for modern technologies, people with passion and eagerness for innovation? Take a look at Datumo. Find out about our sample projects. Learn what we expect of our new colleagues and what we offer them. Join us as a Big Data Engineer!

Discover our exemplary projects:

Greenfield project

• life science client co-creating architecture
• implementation of data pipelines feeding reports or ML models
• automation of batch data processing
• automation of infrastructure creation for cloud projects.

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Cloud migration project

• large ecommerce platform
• migration of data processing from on-premise to cloud
• development of internal tools and libraries supporting migration
• solving performance problems
• cost optimization.

What we expect:

Must-have:

• 3 years commercial experience in Big Data
• proven record of working with a selected cloud provider (GCP, Azure or AWS)
• good knowledge of Python & JVM (Java/Scala/Kotlin) programming languages
• strong understanding of Spark or similar distributed data processing framework
• experience in working with Hive, BigQuery or similar distributed datastore
• designing and implementing Big Data systems in accordance with best practices
• ensuring quality of the solution (automatic tests, CI / CD, code review)
• sharing knowledge with the team, mentoring less experienced team members on technical matters
• proven record of cooperating with businesses and corporations
• knowledge of English at B2 level, communicative Polish.

Nice to have:

• experience in using Airflow or similar pipeline orchestrator
• knowledge of Docker and Kubernetes technologies
• knowledge of Apache Kafka
• experience in Machine Learning projects
• willingness to share knowledge by speaking at conferences, writing articles for the company blog, contributing to open-source projects.

What’s on offer:

• 100% remote work
• flexible working hours
• onboarding with a dedicated mentor
• switching projects is possible after some time
• 20 days of paid holiday, additional free days depending on work experience
• individual budget for training and conferences
• benefits: Medicover private medical care, co-financing of the Multisport card
• opportunity to learn English with a native speaker
• regular company trips and informal get-togethers.

If you like what we do and you dream about creating this world with us - don’t wait, apply now.