Senior Data Engineer with Databricks

160 - 180 PLNNetto za godzinę - B2B
BI & Data

Senior Data Engineer with Databricks

BI & Data
Ul. Inflancka 4A, Warsaw

KMD

Przejdź do profilu firmy
Pełny etat
B2B
Starszy specjalista / Senior
Praca w pełni zdalna
160 - 180 PLNNetto za godzinę - B2B

Opis stanowiska

Location: Warsaw (Inflancka 4A) or Remote Work (Poland) 

B2B Contract, Targeted Salary: 160 - 180 PLN Net/Hour

 

#Python #ApacheSpark #Databricks #MSSQL #Git #CI/CD #Docker #Azure #Kubernetes

 

Are you ready to join our international team as a Senior Data Engineer with Databricks? We shall tell you why you should...

 

What products do we develop?

 

KMD Elements is a cloud-based solution tailored for the energy and utility market. It offers a highly efficient way to handle complex data validation and advanced formula-based settlements on time series. Designed for the international market, KMD Elements automates intricate calculation and billing processes. Key features include an advanced configuration engine, robust automation capabilities, multiple integration options, and a customer-centric interface. More info can be found here

 

How do we work?

#Agile #Scrum #Teamwork #CleanCode #CodeReview #E2Eresponsibility #ConstantImprovement

 

Your responsibilities: 

 

  • Develop and maintain data delivery pipelines for a leading IT solution in the energy market, leveraging Apache Spark, Databricks, Delta Lake, and Python.

  • Have end-to-end responsibility for the full lifecycle of features you develop.

  • Design technical solutions for business requirements from the product roadmap.

  • Ensure optimal performance.

  • Refactor existing code and enhance system architecture to improve maintainability and scalability.

  • Design and evolve the test automation strategy, including technology stack and solution architecture.

  • Prepare reviews, participate in retrospectives, estimate user stories, and refine features ensuring their readiness for development. 

Ideal candidate:  

 

  • Has 5+ years of commercial experience in implementing, developing, or maintaining data load systems (ETL/ELT).

  • Demonstrates strong programming skills in Python, with a deep understanding of data-related challenges.

  • Has hands-on experience with Apache Spark and Databricks.

  • Is familiar with MSSQL databases.

  • Has experience working with distributed systems on a cloud platform.

  • Has worked on large-scale systems and understands performance optimization.

  • Is comfortable with Git and CI/CD practices, and can design or implement deployment processes for data pipelines.

  • Is proactive, solution-oriented, and has a strong can-do attitude.

  • Communicates fluently in English and Polish, both written and spoken.

  • Is a team player with excellent collaboration and communication skills.

 

Nice to Have:

 

  • Experience with Azure

  • Experience working with SSIS

  • Familiarity with Azure PostgreSQL

  • Knowledge of Docker and Kubernetes

  • Exposure to Kafka or other message brokers and event-driven architecture

  • Experience working in Agile/Scrum environments

Wymagane umiejętności

Apache Spark

GIT

ETL

Python

Databricks

CI/CD

MSSQL

Znajomość języków

Polski: C1

Angielski: C1

Mile widziane

Kafka

Azure

Kubernetes

Docker

Lokalizacja biura

O firmie

KMD

KMD Poland is the KMD Group's largest unit outside of its Danish headquarters, with 600 IT and business specialists on board. Our innovative solutions utilize technologies such as .Net, Java, SAP, Angular, Azure, and Kub...
Zobacz profil firmy

Senior Data Engineer with Databricks

160 - 180 PLNNetto za godzinę - B2B
Podsumowanie oferty

Senior Data Engineer with Databricks

Ul. Inflancka 4A, Warsaw
KMD
160 - 180 PLNNetto za godzinę - B2B
Aplikując zgadzam się na przetwarzanie moich danych osobowych w celu przeprowadzenia procesu rekrutacyjnego. Informujemy, że administratorem danych jest KMD z siedzibą w Warszawa, ul. Inflancka 4A (dalej jako "administrator"). Masz prawo do żądania d... WięcejThis site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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