5656 2 x Mid+/Senior Flink Data Engineer

Remote from Poland

Budget: 165PLN/h + VAT

Our company is a global digital platform operating at massive scale, serving hundreds of millions of users worldwide. We focus on building consumer-facing subscription products that connect users with content creators through personalized, data-driven experiences. Our culture emphasizes collaboration, experimentation, and engineering excellence in a highly distributed, cloud-native environment.

Project Overview

The project centers on the continuous development and modernization of a large-scale streaming data platform. The main objective is to evolve existing Apache Flink-based streaming pipelines while executing complex data migrations and platform upgrades. Key responsibilities include:

• Developing and enhancing real-time streaming pipelines using Apache Flink

• Migrating existing Flink jobs using the DataStream API and adapting them to newer platform standards

• Leading and executing the upgrade of the Flink platform to version 2.0

• Designing, optimizing, and maintaining high-throughput, fault-tolerant streaming architectures

• Migrating large-scale datasets from BigQuery (BQ) to Data Cloud Storage (DCS)

• Scaling and automating ongoing data migration processes to support growing data volumes

• Converting datasets from Avro to Parquet format with emphasis on performance, schema evolution, and storage optimization

• Leveraging AI-powered tools to accelerate migration, validation, and transformation workflows

• Ensuring data quality, integrity, and minimal downtime during migrations

• Collaborating with cross-functional teams and effectively communicating technical concepts to non-technical stakeholders

Key Requirements

• Strong hands-on experience with Apache Flink, especially development using the DataStream API

• Proven experience maintaining and upgrading Flink environments, ideally with exposure to Flink 2.0

• Deep understanding of streaming pipeline architecture, performance tuning, state management, and fault tolerance

• Experience migrating large-scale datasets from BigQuery (BQ) to Data Cloud Storage (DCS)

• Strong proficiency in data format conversion, particularly Avro to Parquet

• Ability to design, scale, and automate migration workflows while ensuring data integrity and minimal service disruption

• Solid knowledge of Google Cloud Platform (GCP) and its data services

• Good understanding of distributed systems, schema evolution, and storage optimization strategies

• Ability to break down complex migration and platform challenges into clear, actionable steps

• Proactive mindset with strong ownership of solutions and risk identification

• Clear and effective communication skills, especially in explaining technical topics to non-technical stakeholders

Nice to Have

• Interest in and familiarity with emerging AI-driven practices, with a willingness to explore and experiment beyond standard approaches.

• Experience working on high-scale, consumer-facing data platforms

• Background in long-running migration programs involving multiple data sources and formats

• Familiarity with observability, monitoring, and alerting for streaming systems

• Practical experience using AI-powered assistants to improve productivity, quality, or decision-making in software delivery.