Lead Data Support Engineer

Expected, SQL, Python, AWS, Git

Optional, Databricks

About the project, 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.

Your 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

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

What 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

Benefits, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, flexible working time, integration events, no dress code, leisure zone, employee referral program, charity initiatives, Learning Time

Recruitment stages, Send your application., Phone call with HR., Technical interview., Manager interview., Feedback and terms.

BitPeak Sp. z o.o., We deliver real business value to our clients through data analysis and data processing. Value that can be measured in time and money. Data democratization means quicker and better decisions on personal level and positive implications for the whole company. Our goal is to empower organizations and individuals by providing them with right tools and solutions for making secure and profitable data‑driven decisions.