About the position
Ready to Build the Data Backbone Behind Next-Generation Technology?
If you’re the kind of Data Engineer who gets excited about Kafka, AWS, Python, Java, real-time streaming and solving complex data challenges, this could be your next big opportunity.
We’re looking for an Expert Data Engineer to join a high-performing global technology environment and play a key role in building secure, scalable and intelligent data integration solutions.
You won’t just be moving data from A to B. You’ll be designing the pipelines, platforms and integrations that make critical enterprise data available, trusted, discoverable and ready to be consumed in real time.
RequirementsESSENTIAL SKILLS:
- Hands-on experience with Kafka and event streaming platforms for real-time data movement.
- Proven experience with API integration patterns, webhooks and event/webhook ingestion.
- Strong proficiency in Python for data engineering, ingestion pipelines and automation.
- Strong proficiency in Java for stream processing or connector development.
- Solid competence with enterprise databases and query languages, including performance tuning and query optimization for OLTP/operational workloads.
- Experience with NoSQL/document stores such as Amazon DynamoDB, MongoDB.
- Experience in data modelling to design schemas and standardized data representations.
- Experience with schema registries and contract-first designs (Avro, Protobuf) to manage producer/consumer compatibility.
- Strong understanding and practice of data quality techniques and tooling to ensure trusted data.
- Knowledge of metadata management and cataloging to support discoverability and lineage.
- Familiarity with ETL/ELT patterns and best practices for performant, reliable data pipelines.
- Observability for streaming: experience with metrics, tracing and logging on AWS (CloudWatch, OpenTelemetry, Prometheus/Grafana).
ADVANTAGEOUS SKILLS:
- Awareness of frontend frameworks (e.g., Angular) to better understand downstream consumers.
- Experience operating container platforms and orchestration (Kubernetes/EKS) for scalable stream processing on AWS.
- Familiarity with enterprise systems like SAP and working with their integration interfaces.
- Experience with big data ecosystems (e.g., EMR, S3, Hadoop) and distributed storage/processing on AWS.
- Working knowledge of AWS analytics/data platform services (Glue, Athena, Kinesis, Redshift, Lake Formation, MSK).
- Knowledge of message delivery semantics, partitioning strategies and capacity planning for high-throughput pipelines on AWS.
QUALIFICATIONS/EXPERIENCE:
- Extensive hands-on experience (typically 6+ years) in data engineering, integration or streaming roles with demonstrable production experience.
- Proven track record building and operating streaming platforms (Kafka/MSK) and API-based integrations, with strong Python and Java skills and experience with enterprise databases and query languages.
- Strong analytical thinking, curiosity about data, attention to detail, structured problem solving and ownership — able to drive topics to completion.
- Preferred certifications: Confluent Certified Developer for Apache Kafka, Microsoft streaming eventhubs, AWS Certified Data Engineer.
Benefits - Cutting edge global IT system landscape and processes.
- Flexible working of 1960 hours in a 12-month period.
- High Work-Life balance.
- Remote / On-site work location flexibility.
- Highly motivating, energetic, and fast-paced working environment.
- Modern, state-of-the-art offices.
- Dynamic Global Team collaboration.
- Application of the Agile Working Model Methodology.
Desired Skills:
- Kafka
- Python
- Java
- NoSQL
- API Integrations
- OLTP
Desired Qualification Level:
About The Employer:
