Data Platform Engineer

Warsaw, Masovian Voivodeship, Poland

No longer listed, first seen by us 156 days ago

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Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Implement, configure and maintain the metadata management platform and DQ environment
Integrate the catalog and DQ tools with the lakehouse, warehouse and analytics tools
Automate metadata ingestion, data lineage and data quality reporting
Implement the metamodel and mechanisms for enforcing data quality rules
Monitor the stability, performance and security of the environment

From the employer’s posting

Implement, configure, and maintain the Metadata Management platform and Data Quality environment.

Integrate the solution with the lakehouse, data warehouse, domain systems, and analytical tools.

Automate metadata ingestion, data lineage, data quality monitoring, and DQ reporting.

Implement and maintain the metamodel and technical mechanisms for enforcing data quality rules.

Monitor the stability, performance, and security of the environment.

What you’ll bring

All qualifications

Core experience

Proven experience building and maintaining production data pipelines (ETL/ELT).
Experience with Metadata Management / Data Catalog tools (e.g., DataHub, Apache Atlas, Amundsen).
Experience with Data Quality tools (e.g., Great Expectations, Soda, Deequ, or similar).
Knowledge of event-driven architecture.
Experience in environments with established Data Governance or Master Data Management processes.
Strong proficiency in Python (APIs, automation, integrations) and SQL.

Qualification wording

Proven experience building and maintaining production data pipelines (ETL/ELT).

Experience with Metadata Management / Data Catalog tools (e.g., DataHub, Apache Atlas, Amundsen).

Experience with Data Quality tools (e.g., Great Expectations, Soda, Deequ, or similar).

Knowledge of event-driven architecture.

Experience in environments with established Data Governance or Master Data Management processes.

Strong proficiency in Python (APIs, automation, integrations) and SQL.

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Posting record

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May be filledThe employer has taken this posting down, so the role may be filled. Check their website before applying.

Status in our records: No longer listed
First seen by us: Jun 2, 2026156 days ago
Recorded sightings: 318
Last seen by us: Oct 21, 2026
Employer says posted: May 20, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Software Mind is hiring

11 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Engineer hiring is picking up
Takes jobs down quickly
27% of open jobs were reposted

Hiring record

See how this role fits your experience

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Python
SQL
AWS
Great Expectations

Where the posting names them

- Experience in environments with established Data Governance or Master Data Management processes. - Strong proficiency in Python (APIs, automation, integrations) and SQL. - Hands-on experience working in an AWS environment.

Project – the aim you’ll have Join a Media & Entertainment project building modern analytical solutions. You'll help develop a cloud-native data ecosystem on AWS, focused on metadata management and data quality. Key selling points: real ownership of a critical data platform component, work with modern open-source tooling, and close collaboration with Data Engineering, Data Governance, AI, and Data Management teams shaping organizational data standards. Position – how you’ll contribute

- Strong proficiency in Python (APIs, automation, integrations) and SQL. - Hands-on experience working in an AWS environment. - Solid knowledge of CI/CD practices and GitHub.

- Experience with Metadata Management / Data Catalog tools (e.g., DataHub, Apache Atlas, Amundsen). - Experience with Data Quality tools (e.g., Great Expectations, Soda, Deequ, or similar). - Knowledge of event-driven architecture.

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

Project – the aim you’ll have

Join a Media & Entertainment project building modern analytical solutions. You'll help develop a cloud-native data ecosystem on AWS, focused on metadata management and data quality. Key selling points: real ownership of a critical data platform component, work with modern open-source tooling, and close collaboration with Data Engineering, Data Governance, AI, and Data Management teams shaping organizational data standards.

Position – how you’ll contribute

Implement, configure, and maintain the Metadata Management platform and Data Quality environment.
Integrate the solution with the lakehouse, data warehouse, domain systems, and analytical tools.
Automate metadata ingestion, data lineage, data quality monitoring, and DQ reporting.
Implement and maintain the metamodel and technical mechanisms for enforcing data quality rules.
Develop and extend integrations between Data Quality and Metadata Management solutions.
Monitor the stability, performance, and security of the environment.
Collaborate with Data Governance, Data Engineering, and business teams to roll out standards and drive practical adoption of the data catalog and DQ mechanisms.
Produce technical documentation and provide user support.

Qualifications

Expectations – the experience you need

Minimum 3–5 years of experience as a Data Engineer / Data Platform Engineer or in a related role.
Proven experience building and maintaining production data pipelines (ETL/ELT).
Experience with Metadata Management / Data Catalog tools (e.g., DataHub, Apache Atlas, Amundsen).
Experience with Data Quality tools (e.g., Great Expectations, Soda, Deequ, or similar).
Knowledge of event-driven architecture.
Experience in environments with established Data Governance or Master Data Management processes.
Strong proficiency in Python (APIs, automation, integrations) and SQL.
Hands-on experience working in an AWS environment.
Solid knowledge of CI/CD practices and GitHub.
Experience implementing data validation, data testing, or data quality control mechanisms within pipelines.
Experience with system integrations (REST API, GraphQL, or similar).
Understanding of Data Governance, Metadata Management, Data Lineage, and Data Quality concepts.
Ability to work independently in a project-based environment.
Good communication skills in both Polish and English.

Additional Information

Our offer – professional development, personal growth

Flexible employment and remote work
International projects with leading global clients
International business trips
Non-corporate atmosphere
Language classes
Internal & external training
Private healthcare and insurance
Multisport card
Well-being initiatives

Company Description

Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.

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