We are a trusted, specialised consultancy with a mission to bring expert technology leadership to businesses at every stage of their growth journey. Our work spans multiple clients and providers, helping them deliver technology initiatives with precision, strategic alignment, and lasting value. Operating at the intersection of technical excellence and business strategy, we ensure projects not only launch successfully but also drive broader organisational goals.

As part of our collaboration with one of our key clients, we're looking for a Data Software Engineer to help design, develop, and implement a next-generation data platform. If you're passionate about modern data technologies, solving complex challenges, and building high-quality solutions, we'd love to hear from you.

What You'll Do

• Design and develop real-time data pipelines, following SOLID principles and ensuring compliance with established quality standards.

• Integrate new data sources through connectors and apply complex transformations in streaming environments to enrich data.

• Collaborate closely with your team, sharing your knowledge and experience while continuously developing new skills.

• Optimize the performance and efficiency of data pipelines and analytical queries.

• Configure monitoring systems, alerts, and quality and health metrics.

• Use AI-assisted engineering tools responsibly and guide coding agents, taking ownership of the quality, security, and design of the delivered solutions.

• Work within Agile and DevOps methodologies, taking ownership of the full Software Development Life Cycle (SDLC) and actively participating in code reviews.

Technologies You'll Work With

• Object-Oriented Programming in Java, particularly with Spring

• Stream processing using Apache Flink and Apache Beam

• Testing with JUnit and SonarQube

• Operational and analytical SQL databases

• Kafka and Kafka Connect

• Hadoop ecosystem

• Containerization with Docker and Kubernetes

• Build tools and version control systems (Git)

• Monitoring with Grafana and Prometheus

What We're Looking For

• Bachelor's degree in Computer Science or a related field, with at least 3 years of experience in Data Engineering.

• Hands-on experience working with large-scale datasets and ETL processes.

• Strong knowledge of database design and development.

• Experience with data ingestion using Kafka Connect.

• Familiarity with stream processing technologies such as Flink, Beam, or Spark.

• Experience working with Docker and Kubernetes.

• Strong knowledge of Java or another object-oriented programming language, with experience using it for data processing considered a plus.

• Solid experience with relational databases and SQL.

• Understanding of Data Lakehouse architectures.

• Strong problem-solving and analytical skills, with enthusiasm for tackling technical challenges.

• Excellent interpersonal and teamwork skills.

Don't worry if you don't meet every requirement—starting a new job also means learning new things!

Benefits of Working at Apipana

• 30 working days of annual leave

• Flexible working hours

• Hybrid work model: 3 days in the office, 2 days working from home

• Comprehensive private health insurance with DKV

• Free English classes during working hours

• Meal vouchers

• Up to €25 per month towards any sports or fitness activity

• Training budget for your professional development

• Employee referral program: Earn up to €3,000 for every successful referral

• Work from Anywhere: Work remotely from anywhere for up to 4 weeks per year

Don't miss the opportunity to join us and become part of our future!