Lead Data Support Engineer

BitPeak; Warszawa; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Certification reimbursement

Paid learning hours

Flexible work options

Medical care

Sports packages

Language tuition

Referral bonus (PLN 15k)

Annual bonus

Media bonus

Job summary

BitPeak is seeking a client-facing data professional to join the team in Warsaw, focusing on building a modern data platform for a global pharmaceutical organization. You will engage with clients to gather requirements, troubleshoot, and translate business needs into scalable data solutions using SQL, Python, and cloud technologies.

You will work in a distributed, international environment with a hybrid Warsaw/remote arrangement, contributing to dataOps practices and delivering high-quality data

Qualifications

• Experience in a client-facing data support or data engineering role.
• Experience working with business clients and stakeholders.
• Very good SQL knowledge and Python basics.
• AWS experience (S3, Glue, Lambda) and Databricks knowledge are advantageous.

Responsibilities

• Work directly with clients and business stakeholders in English to understand requirements, troubleshoot issues, and propose technical solutions.
• Lead the resolution of complex data and production issues, including root cause analysis.
• Handle tickets in ServiceNow and maintain accurate descriptions and analysis notes.
• Monitor production processes and respond to incidents.
• Coordinate deployment activities with Git and perform releases with best 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 daily work of the support team to meet SLA terms and improve maintenance processes.

Skills

Client-facing

SQL

Python

English (C1)

Data engineering

Tools

Git

ServiceNow

Databricks

AWS

Power BI

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.

Very good knowledge of SQL.

Good knowledge of Python.

Practical experience with AWS, for example S3, Glue, Lambda, IAM and CloudWatch.

Working knowledge of Databricks,

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.

Databricks or AWS certification, as well as knowledge of other cloud platforms such as Azure or GCP, would be an advantage.

Experience in maintenance projects with an SLA, including exposure to ETL processes (Glue, ADF, dbt) or PySpark, would be a plus.

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

Behind every project are passionate individuals working together toward a common goal. Collaboration opens doors to new solutions and breakthroughs in data. I am convinced of the power of team and openness to new challenges in the world of data. By supporting each other, we can accomplish great things together and build lasting success.