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Software / Data Engineer (with Java or Scala)

7 miesięcy temu

Warsaw, Polska emagine Consulting Pełny etat

Renumeration: - PLN/h (depending on experience)

Remote work: Warsaw (obligatorily a few days a week work from the Warsaw office)
Assignment type: B2B

Start: ASAP

Project length:  12 months + ext.

Project language: English

Job Description:

Are you a skilled data engineer with a strong software engineering background? Do you have a passion for building and optimising data pipelines and architectures? If so, we want you to apply We are seeking a talented and experienced data engineer for one of our clients to help them build robust data solutions and drive innovation within our organisation.

RESPONSIBILITIES:

Build and optimize data pipelines and architectures.

Develop prototypes and proof of concepts.

Write automated unit tests and follow coding best practices.

Work with git for version control.

Handle relational data sets using SQL.

Focus on DevOps and CI/CD practices.

Engage in data modeling and develop data solutions.

Work in an Agile environment with a team-focused mindset.

Collaborate directly with stakeholders to develop prototypes and solutions.

Adjust to the skillsets of team members and help them advance.

Communicate effectively with a friendly and outgoing attitude.

REQUIREMENTS:

Relevant education in Computer Science, Engineering, Mathematics, Economics, Information Management, or Statistics.

4+ years of experience as a Data Engineer or in a Software engineering role with a focus on data.

Experience with at least one JVM, object-oriented, or functional/scripting language (Scala, Java, etc.). Python is a plus.

Proficient in writing automated unit tests and hands-on with git.

Experience working with relational data sets using SQL.

Strong focus on DevOps and CI/CD practices.

Experience with Spark.

Experience with Azure, AWS, or other cloud providers.

Experience in data modeling.

Agile mindset and team player.

Fluent in English

Nice to have:

Familiarity with big data tools such as Databricks and Hadoop.

Knowledge of data pipeline and workflow tools like Airflow, ADF, Luigi, etc.

Experience with infrastructure tools like Docker, Kubernetes, and Helm.

Familiarity with stream-processing systems such as Kafka.

WE OFFER:

Technical growth, including education and certifications

International projects in Scandinavian business culture

Long term cooperation across multiple projects and sectors

Transparently built relations based on trust and fair play

Co-financed benefit package (private healthcare, Multisport card)