As a Data Platform Support Engineer, you will be a part of the troubleshooting team responsible for implementation and maintenance of systems that generate operational insights and drive corrective actions within whole digital ecosystem.
As a Data Platform Support Engineer, you will provide advanced operational support for data pipelines and data platforms, helping ensure reliable operations, timely incident resolution, and data quality.
You will work closely with support and engineering teams to investigate technical issues, restore services, and prevent recurring problems. This role combines analytical troubleshooting with hands-on work in SQL, AWS, monitoring tools, and basic scripting.
Job Responsibilities and Duties
- Provide advanced operational support for data pipelines, databases, and data platforms.
- Investigate complex technical issues, assess their impact, and coordinate resolution with support and engineering teams.
- Troubleshoot pipeline failures, data processing delays, and data quality issues using SQL queries, logs, metrics, and monitoring tools.
- Restore normal operations through documented recovery procedures, workarounds, and approved corrective actions.
- Collaborate with engineers on issues requiring code or architecture changes, providing clear findings and relevant diagnostic information.
- Monitor platform health and investigate alerts to identify potential issues before they affect users or downstream systems.
- Manage incidents by maintaining accurate records and communicating progress, impact, and resolution to relevant stakeholders.
- Contribute to root cause analysis, identify recurring issues, and follow up on preventive actions.
- Support change management by assessing operational impact, validating approved changes, and monitoring platform stability after implementation.
- Create and maintain runbooks, troubleshooting guides, and knowledge articles to help support teams resolve issues more effectively.
- Use basic Python scripting language to support diagnostics and automate repetitive operational tasks.
- Work with support and engineering teams to improve monitoring, observability, data quality, and platform reliability.
Employee perks, benefits
- 6 extra days off: 3x localhost days and 3x sick days
- Referral bonus
- Benefit plus budget
- Financial contribution to Pension plan
- Multisport Card
- Education support (certificates, courses, trainings)
- Bonuses at every smashing life events
- Flexible working arrangements
- Transparent approach and communication
- Supporting your ideas
Requirements for the employee
Language skills: English - Upper intermediate (B2)
Number of years of experience in the position/sector: 3+
Personality requirements and skills
- 3+ years of experience in operational support, troubleshooting, and maintenance of data platforms, data pipelines, or production applications.
- AWS: Working knowledge of AWS cloud services and the ability to investigate operational issues in an AWS environment.
- SQL: Practical knowledge of SQL and relational databases, including writing queries to investigate data issues and validate data quality.
- Python – basics: Ability to read and understand existing Python scripts, make basic modifications, and write simple scripts for troubleshooting or repetitive tasks.
- Monitoring tools: Experience using monitoring and observability tools to analyse logs, interpret alerts, and investigate system or data pipeline issues (DataDog, AppDynamics, Dynatrace, and similar).
- API understanding: Understanding of how APIs work, including requests and responses, HTTP methods, status codes, and basic authentication concepts.
- Strong analytical and troubleshooting skills, with a structured approach to identifying and resolving technical issues.
- Understanding of incident, problem, and change management processes.
- Ability to prioritise issues based on business impact and urgency.
- Clear communication skills and a collaborative approach to working with support and engineering teams.
- Ownership of assigned issues and commitment to following them through to resolution.
Top candidates will also have:
- Experience creating conceptual and logical data models for SQL and NoSQL databases.
- Knowledge of data technology products and components for Big Data and Cloud (AWS, Data Lakes and similar).
- Relevant AWS or Azure Certifications, including Certified Developer Associate.
- A degree in relevant field, such as Computer Science.
