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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on building the Azure Data Analytics Platform supporting background screening for Fortune 100 clients. Key technologies include Python/PySpark, SQL, Databricks Spark, and streaming (Kafka, Azure Event Hubs). Responsibilities cover creating reusable data pipelines, process automation, integrations development, monitoring solutions, troubleshooting ETL issues, and enhancing platform architecture.
from: 3 August 2026
to: 2 September 2026
130 - 150 złnet (+ VAT)/ hr.B2B contract (full-time)
Salary details
basic salary
Offer parameters
level:senior
working mode:remote
location:Kraków, Lesser Poland
Kraków, Lesser Poland
Requirements
Expected technologies
Python
PySpark
SQL
Kafka
Optional technologies
Debezium
Operating system
Windows
macOS
Our requirements
- Strong experience with Python/PySpark and SQL.
- Hands-on experience building robust data pipelines using Databricks Spark.
- Experience processing large-scale datasets in production environments.
- Strong knowledge of Kafka or other streaming platforms such as Azure Event Hubs or Amazon Kinesis.
- Experience building streaming data integrations and event-driven data pipelines.
- Good understanding of Spark Structured Streaming.
- Familiarity with CDC (Change Data Capture) concepts; experience with Debezium is a plus.
- Strong knowledge of Databricks Delta optimization (partitioning, Z-ordering, compaction, etc.).
- Experience developing reusable Python libraries and packages.
- Hands-on experience with CI/CD pipelines.
- Good understanding of networking fundamentals.
- Familiarity with Agile/Scrum methodologies.
Your responsibilities
- Build reusable, metadata-driven data pipelines.
- Automate and optimize data platform processes.
- Develop integrations with data sources and consumers.
- Extend shared ETL libraries with transformation methods.
- Write unit tests.
- Create monitoring solutions for the Databricks platform.
- Proactively address ETL performance and quality issues.
- Collaborate with infrastructure teams on cloud resources.
- Update data platform wiki and documentation.
- Conduct code reviews to ensure quality.
- Initiate and implement architecture improvements.
About the project
We support recruitment for a US-based company that is a provider of mission-critical background screening solutions. They work with Fortune 100 clients helping them manage risk and hire the best talent. This role will provide you with an outstanding opportunity to work for an industry-leading company. With over 4500 employees from 30+ different nationalities, you will be working with a diverse bunch of creatives redefining the world of digital background check and verification services across the globe.
We’re seeking a self-motivated Data Engineer with strong Python/PySpark skills to join the Data Engineering Team and help build the Azure Data Analytics Platform. The ideal candidate is an independent, collaborative team player who leads projects, identifies process gaps, and continuously develops expertise in Human Capital technology.
The role involves developing reusable, metadata-driven data pipelines, automating platform processes, building data integrations, extending ETL libraries, writing unit tests, creating Databricks monitoring solutions, proactively resolving ETL issues, collaborating on cloud resources, updating documentation, conducting code reviews, and enhancing platform architecture.
The position is offered on a B2B contract from March to December 2026, with the possibility of continued collaboration afterward.
Key takeaways:
Stack: Python/PySpark, SQL, Databricks Spark, Knowledge of Azure cloud native solutions
This is how we work on a project
- Continuous Deployment
- Continuous Integration
- documentation
- issue tracking tools
- testing environments
Join a senior engineering team building secure and scalable platforms for the investment management industry. Please apply via our careers page and submit your CV in English.
What we offer
- 100% Remote work model.
- Superior co-working and personal development experience in an international setting.
Recruitment stages
- 1.A call with a Motife recruiter (30 min)
- 2.An online interview with a technical case (1.5h)
Motife Sp. z o.o.
MOTIFE is a trusted partner for tech companies choosing Poland to build and grow their engineering and software development capabilities.
We help software companies, startups, fintechs, technology companies, and industry disruptors with their IT recruitment and, wherever necessary, advisory in setting up a presence in Poland and daily operations.
Our end-to-end support helps us build long-term relationships with new IT players, which means we can offer some of the most interesting career opportunities for skilled software and IT professionals like you.
Data Engineer (Azure)
130–150 zł / hr. (B2B)
I apply to:
Motife Sp. z o.o.
Kraków, Lesser Poland
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