Data Platform Lead

BitPeak sp. z o.o.; Województwo mazowieckie; Hybrid; PLN 180,000 - 260,000; Full time

Job summary

BitPeak sp. z o.o. is seeking a Data Platform Engineer to work with a project team developing a modern data platform for a global pharmaceutical organization.

You will work directly with the client, gathering requirements and translating business needs into scalable data solutions in an international environment. Based in Warsaw with hybrid/remote options, the role focuses on Big Data architecture, DataOps practices, and modern cloud technologies across Azure or AWS.

Qualifications

• Client-facing data support or data engineering experience.
• Experience working directly with business clients and stakeholders.
• Experience working in multi-vendor environments and coordinating with different teams and suppliers.
• Strong ownership and proactive approach able to challenge decisions, suggest improvements, and take initiative.
• Very good English (C1), particularly in written and client-facing communication.
• Working knowledge of Databricks.
• Practical experience with cloud environments: Azure or AWS.
• Very good knowledge of SQL.
• Good knowledge of Python.
• Good knowledge of Git, including cherry-pick and deployment good practices.
• Working knowledge of Power BI and DAX, enough to analyze a report issue.
• Experience with a ticket system, preferably ServiceNow.
• Experience in maintenance projects with an SLA, including exposure to ETL processes (Glue, ADF, dbt) or PySpark, would be a plus.
• Databricks or AWS certification, as well as knowledge of other cloud platforms such as Azure or GCP, would be an advantage.

Responsibilities

• Work directly with clients and business stakeholders in English to understand requirements, troubleshoot issues, and propose technical solution
• Lead the resolution of complex data and production issues, including root cause analysis.
• Handle tickets in ServiceNow and keep ticket descriptions and analysis notes complete and correct.
• Monitor production processes and respond to incidents.
• Take care of the deployment process: work with Git, prepare releases with cherry-pick, and follow good deployment practices.
• Write and maintain SQL and Python scripts for data checks, troubleshooting, and automation.
• Prepare reports and technical documentation for the client, including root cause analysis.
• Advise the client on technical solutions and improvements.
• Help new team members start on the project.
• Coordinate the daily work of the support team, make sure the team meets the contract terms (SLA), and improve maintenance processes.

Job description

In this role, you will work with a project team developing a modern data platform for a global pharmaceutical organization. You will work directly with the client, contributing to discussions, gathering requirements, and helping translate business needs into scalable data solutions. You will work in an international environment and focus on Big Data architecture and modern data technologies, following the principles of the DataOps Manifesto.

Warsaw Hybrid/Remote

Responsibilities

• Work directly with clients and business stakeholders in English to understand requirements, troubleshoot issues, and propose technical solution
• Lead the resolution of complex data and production issues, including root cause analysis.
• Handle tickets in ServiceNow and keep ticket descriptions and analysis notes complete and correct.
• Monitor production processes and respond to incidents.
• Take care of the deployment process: work with Git, prepare releases with cherry-pick, and follow good deployment practices.
• Write and maintain SQL and Python scripts for data checks, troubleshooting, and automation.
• Prepare reports and technical documentation for the client, including root cause analysis.
• Advise the client on technical solutions and improvements.
• Help new team members start on the project.
• Coordinate the daily work of the support team, make sure the team meets the contract terms (SLA), and improve maintenance processes.

Requirements

• Experience in a client-facing data support, data engineering, or similar role
• Experience working directly with business clients and stakeholders
• Experience working in multi-vendor environments and coordinating with different teams and suppliers
• Strong ownership and proactive approach able to challenge decisions, suggest improvements, and take initiative rather than simply follow instructions
• Very good English (C1), particularly in written and client-facing communication
• Working knowledge of Databricks
• Practical experience with cloud environments: Azure or AWS
• Very good knowledge of SQL
• Good knowledge of Python
• Good knowledge of Git, including cherry-pick and deployment good practices
• Working knowledge of Power BI and DAX, enough to analyze a report issue
• Experience with a ticket system, preferably ServiceNow
• Experience in maintenance projects with an SLA, including exposure to ETL processes (Glue, ADF, dbt) or PySpark, would be a plus
• Databricks or AWS certification, as well as knowledge of other cloud platforms such as Azure or GCP, would be an advantage

We offer

• Global projects in clouds - we work with clients from all over the world based on modern cloud technologies
• Certification reimbursement - we fund exams, certifications from Microsoft, AWS, Databricks
• Time to learn - 60 paid hours per year
• Flexible approach - you can choose to work from home or meet at our offices
• Personalized benefits - medical care, subsidized sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonus