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.

Proficiency in Python/PySpark and SQL., Strong experience building robust data pipelines with Databricks Spark., Proven track record handling large, complex datasets., Expertise in developing reusable data transformation libraries (Python packages)., Deep knowledge of Databricks Delta optimization (partitioning, Z-ordering, compaction, etc.)., Hands-on experience with CI/CD pipeline development., Skilled in event streaming integration using Kafka, Event Hubs, or Kinesis., Solid understanding of fundamental networking concepts., Familiarity with Agile/Scrum methodologies.

Optional, Spark Structured Streaming, IaC (Terraform/Bicep), containers (Azure Container Apps/K8s), event sourcing, CDC (Debezium), Azure native (Data Factory, Functions, ACI)

This is how we work, in house, you develop several projects simultaneously, you focus on product development, you focus on code maintenance, agile, scrum

work-organization-team-members

Team members, backend developer, frontend developer, fullstack developer, technical leader, automated test programmer, product owner, scrum master

This is how we work on a project, architect / technical leader support, Continuous Deployment, Continuous Integration, testing environments

What we offer, 100 Remote work model., Superior co-working and personal development experience in an international setting.

Recruitment stages, A call with a Motife recruiter (30 min), An online interview with a technical case (1.5h)

additional-module

If you’re excited to shape the future of Android development in digital fitness and wellness, we’d love to hear from you! Please apply through our careers page with your CV in English.

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, architect / technical leader support, Continuous Deployment, Continuous Integration, testing environments

work-organization-team-members

Team members, backend developer, frontend developer, fullstack developer, technical leader, automated test programmer, product owner, scrum master

additional-module

If you’re excited to shape the future of Android development in digital fitness and wellness, we’d love to hear from you! Please apply through our careers page with your CV in English.

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

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.

Recruitment stages

• A call with a Motife recruiter (30 min)
• An online interview with a technical case (1.5h)

Recruitment stages, A call with a Motife recruiter (30 min), An online interview with a technical case (1.5h)

additional-module

If you’re excited to shape the future of Android development in digital fitness and wellness, we’d love to hear from you! Please apply through our careers page with your CV in English.

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