Senior Data Engineer (Python, Databricks)
Posted bythe hiring team· about 6 hours ago
Posted bythe hiring team· about 6 hours ago
Senior Data Engineer (Python, Databricks)
USD 80,951 – USD 101,189
Mid-range for Data
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Verified team
HR-vetted before going live.
Transparent pay
Salary stated upfront.
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About this role
the company is a technology company of over 500 experts, empowering large organizations to solve complex business challenges with modern IT solutions - from sales systems and automation to data platforms and AI. We operate where technology must be reliable, secure, and scalable. We deliver end-to-end projects: from analysis and architecture through implementation to development and maintenance. We are a trusted partner of industry leaders such as Salesforce, Veeva, UiPath, and Databricks.
Model: remote
Employment type: full-time
Responsibilities
Build and maintain DAB pipelines and YAML-based transformation configuration; migrate toward native Databricks Asset Bundle patterns
Keep DEV / QAS / PRD environments consistent and drift-free across delivered markets
Assess new data sources before sprint commitment — shape, volume, quality risks — and write feasibility notes that gate scope entry
Develop PySpark transformations across Raw, Quality Integration, and Curated zones following CDA layer standards
Define and run data reconciliation and acceptance criteria so business users aren't the primary quality gate at UAT
Requirements
Azure Databricks & PySpark — senior hands-on: jobs, clusters, Unity Catalog, transformation logic, unit testing
Delta Lake — schema evolution, MERGE, time travel; DAB — YAML config and bundle deployment
SQL — advanced; able to read 10-year-old stored procedures without help
CI/CD — Azure DevOps, Git branching strategy, PR discipline — practised, not theoretical
Ability to profile source data, define acceptance criteria, and take a data problem from source assessment to UAT sign-off — without a BA intermediary
Comfortable with incomplete documentation and evolving scope — you document decisions so others don't need a handover call
Employment conditions:
B2B contract,
Daily support from team leaders,
Dedicated certification budget,
Assistance in defining and support in your development path,
Benefits package,
Integration trips/events.
The Senior Data Engineer (Python, Databricks) role with the hiring team offers USD 80,951–101,189 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 Senior Data Engineer (Python, Databricks) 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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