Senior Data Engineer
Salary: 125 - 155 PLN/h on B2B
Work model: hybrid from Gdynia / Gdańsk / Warszawa (3 days per week from the office)
Why choose this offer?
You can expect a flexible work organization
The international work environment will give you the opportunity to interact with the English language on a daily basis
Scandinavian organizational culture will provide you with work-life balance, you will gain time for additional training (financed by Jit)
The Jit community will bring you a nice time during regular integration meetings
Project
Engineer hired for this position will be working on implementing multiple data requirements coming from the Group Financial Crime Prevention unit.
Data requirements spans from developing streaming application that connect to multiple data sources both internally or externally, but also to enable advanced analytics pipeline that produces clean, transformed data set that are being utilized to feed multiple products within the Financial Crime sector.
Responsibilities you'll have
Building distributed and highly parallelized BigData processing pipeline which process massive amount of data (both structured and unstructured) in near real-time
Leverage Spark to enrich and transform corporate data to enable searching, data visualization, and advanced analytics
Work closely with DevOps, QA and Product Management teams in a Continuous Delivery environment
Expected competences and knowledge
Experience in Scala and Spark minimum 5 years of experience
Knowledge of Big Data Ecosystem (Hadoop stack: YARN, EMR, Sqoop, Hive, ect) - prior experience is required
Experience with Kafka at a basic level
Experience with Impala
Jenkins, JIRA, Bitbucket and Git
Nice to have:
Strong knowledge about Unit testing
Code versioning strategy & Branching strategy
Familiar with Agile/Safe framework
Ideally consultant would also have:
Experience in Snowflake in AWS environment
Experience of implementing data security capabilities such as encryption and anonymization
Excellent communication skills and experience of distributed global teams
Data driven thinking capabilities
Experience in using Agile methods
Prior Financial Service experience is considered a plus
Technologies you'll work with
Scala
Spark
Hadop
Kafka
Impala
Jenkins
JIRA
Bitbcuket
Git
Client – why choose this particular client from the Jit portfolio?
Jit Team has had an over-decade-long relationship with the leading financial group in the Nordic countries, and we are privileged to be our client's premier partner in Poland. At present, over 200 Jit personnel are engaged in the completion of more than 60 projects for this Norwegian major provider of financial services with a global presence and a strong focus on modern technology. Our customer's work atmosphere is epitomized by the Scandinavian culture, which is conducive to people who place emphasis on work-life balance and feedback culture. Furthermore, all projects are executed in international teams, giving constant exposure to the English language.
About Jit Team
The Human factor of IT - it's not just a slogan, it's a philosophy. The foundation of Jit Team is people, which is why we prioritise you. We employ over 700 experienced experts. We create highly specialised teams for clients from all over the world. We offer team members developmental projects, a wide range of benefits and a proprietary professional development programme.
Behind our maxim are also charitable and educational activities. We support pupils and students by donating learning equipment. We offer internships to help launch careers in IT. We support water rescuers and hospitals by providing the necessary equipment. We are a Polish company and we share what we have achieved over 15 years of activity. By supporting indigenous initiatives, we ensure the circulation of good energy.

Jit Team
Jit Team – the human factor of IT. We build software development teams for our clients operating in various branches of business. We believe that the most important factor is the human factor. Our main value are Jit peop...
Senior Data Engineer
Senior Data Engineer