Databricks Data Engineer (m/f/n)
Posted bythe hiring team· 17 days ago
- Location
Posted bythe hiring team· 17 days ago
Databricks Data Engineer (m/f/n)
USD 64,207 – USD 64,207
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About this role
We are currently looking for a Databricks Data Engineer (m/f/n) to join an international technology project for one of our clients.
Requirements:
Around 4–5 years of experience in Data Engineering
Hands-on experience with Databricks
Strong knowledge of Python
Experience in building and maintaining data pipelines
Experience with cloud environments
Ability to work with large and complex datasets
Good communication skills and ability to collaborate with technical stakeholders
Very good English communication skills
Responsibilities:
Designing and implementing data processing solutions using Databricks
Creating, developing, and optimizing data pipelines using Python and cloud-based tools
Working with large-scale and diverse datasets
Collaborating with Solution Architects to define and apply best practices in data engineering
Ensuring data consistency, security, and scalability in cloud environments
Participating in the maintenance and further development of existing data solutions
Our offer:
Form of cooperation: B2B contract with Shimi
Rate: 120 PLN/h net + vat
Location: 100% remote
Availability: ASAP (maximum notice period: 1 month)
Benefits package including Multisport card and private medical care
The Databricks Data Engineer (m/f/n) role with the hiring team offers USD 64,207–64,207 per year. Salary information is published as part of every JobRemotely listing so candidates can self-screen before applying.
Yes — the hiring team has marked this Databricks Data Engineer (m/f/n) role as open to candidates based in Poland. Eligibility requirements are surfaced in the JobPosting structured data on the listing.
The hiring team uses the JobRemotely structured hiring pipeline: candidates apply through the listing, complete a paid test task or screening, and only then proceed to interviews. This skips the resume black hole and respects everyone's time.
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