Senior Data Platform Engineer at Ciklum

, , Spain -

Full Time

Start Date

Immediate

Expiry Date

30 Sep, 26

Salary

0.0

Posted On

02 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS Infrastructure, Stream Processing, Event-driven Architecture, Schema Management, Data Engineering, Data Transformation, Flink SQL, PyFlink, Stakeholder Management, Communication Skills

Industry

IT Services and IT Consulting

Description

Ciklum is looking for a Senior Data Platform Engineer to join our team full-time in Poland. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Data Platform Engineer, you will join a growing cross-functional team focused on building next-generation data platform capabilities. The team is responsible for Data Platform Enablement, creating new data products using both streaming and batch technologies, and is currently expanding to support increasing demand across multiple domains. About the client: With almost 100 million active users across 25 countries, they’re a global food tech company. Their tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Their mission: To empower every food moment around the world, whether it’s through customer service, coding or couriers. As a recently formed team, they have many opportunities and ideas for sharing value back to the customers within their continuously expanding platform. They're looking for talented and trusted engineers to help them impress their customers. Responsibilities: * Create new data products within our AWS data platform, working with product teams and stakeholders to create data contracts and CDAs * Work with engineering teams to debug issues with setting up new data pipelines and batch jobs, pushing best practices across the platform * Need strong stakeholder management and communication skills, proactive approach to working with other teams and problem solving contract and data pipeline issues Requirements: * Solid experience with AWS infrastructure * Good understanding of stream processing concepts * Familiarity with event-driven architecture and schema management practices * Strong foundation in data engineering, particularly in data transformation approaches * Experience with Flink SQL and PyFlink or similar What`s in it for you? * Strong community: Work alongside top professionals in a friendly, open-door environment * Growth focus: Take on large-scale projects with a global impact and expand your expertise * Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications * Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies * Flexibility: Enjoy flexibility – full remote working possibilities * Care: We’ve got you covered with company-paid medical insurance About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. With delivery centers in Wrocław and Gdańsk, our 300+ professionals in Poland drive forward-thinking solutions for global clients. Join a community where collaboration sparks innovation—and your impact reaches millions. Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum. #LI-VH1

Responsibilities

Create new data products within an AWS platform and establish data contracts with stakeholders. Debug data pipelines and batch jobs while promoting engineering best practices across the platform.