GeekSoft Consulting | Fixed Term Employment
Eindhoven, Netherlands | Posted on 06/23/2026
Share this job with your network
- Industry Technology
- Date Opened 06/23/2026
- Job Type Fixed Term Employment
- Work Experience 10+ years
- State/Province Noord-Brabant
- City Eindhoven
- Zip/Postal Code 5611
- Country Netherlands
- Help design, build and continuously improve the clients online platform.
- Research, suggest and implement new technology solutions following best practices/standards.
- Take responsibility for the resiliency and availability of different products.
- Be a productive member of the team.
- Minimum 10 years of experience in Data Engineering.
- Experienced Lead Data Engineer to design, develop, and implement modern cloud-native data platforms that enable analytics, artificial intelligence, and data-driven decision-making.
- Work closely with architects, engineers, and business stakeholders to solve complex data challenges across diverse industries, including government, financial services, infrastructure, energy, and manufacturing.
- As a technical leader, play a key role in defining data architecture standards, mentoring Data Engineers, and driving best practices within the Data & Analytics team.
- Design and implement scalable Data Lakes, Data Warehouses, and Lakehouse architectures.
- Develop and maintain robust ETL/ELT pipelines for both batch and real-time data processing.
- Design and optimize data models while ensuring data quality, governance, and consistency.
- Build and support cloud-native data solutions on AWS.
- Develop event-driven and serverless architectures to support modern data platforms.
- Enable analytics, business intelligence, artificial intelligence, and machine learning initiatives through efficient data solutions.
- Provide technical leadership, mentor Data Engineers, and contribute to architecture and design decisions.
- Collaborate within Agile teams to deliver innovative and scalable client solutions.
- Strong experience designing and implementing cloud-native data platforms.
- Deep understanding of Data Engineering principles, ETL/ELT processes, Data Modeling, and Data Warehousing concepts.
- AWS Cloud Technologies: Amazon S3, Amazon Redshift, AWS Glue, Amazon Athena, AWS Lambda, Amazon DynamoDB, Amazon ECS/Fargate, AWS Step Functions, Amazon SNS/SQS
- Data Engineering & Big Data Technologies: Apache Spark, Apache Kafka, SQL, Python
- Relational databases such as PostgreSQL, Oracle, SQL Server, or equivalent.
- NoSQL databases including MongoDB, DynamoDB, Cassandra, or similar platforms.
- Engineering & DevOps: Git version control, Docker, CI/CD pipelines, Infrastructure as Code (IaC), Agile/Scrum methodologies
Databricks & Modern Data Platforms: Databricks, Delta Lake, Unity Catalog, Lakehouse Architecture - Experience with Snowflake, Microsoft Fabric, or similar modern data platforms
- Graph Technologies: Neo4j, Amazon Neptune, GraphDB, or similar graph databases, Graph Data Modeling, Graph Analytics, Knowledge Graphs, Data Lineage and Dependency Mapping
- Additional Preferred Skills: Event-Driven Architecture, Microservices Architecture, Machine Learning and Advanced Analytics
- Experience with Microsoft Azure Data Platform technologies
- Bachelor’s or Master’s degree in Computer Science, Informatics, Data Science, Engineering, or a related field.
Certifications
- AWS Certifications are highly valued.
- Databricks Certifications are considered a strong advantage.
- A challenging, innovating environment.
- Opportunities for learning where needed.
{{criteriaIndex}}
{{field}} {{captialize(condition)}}
( )
{{topMessage}}
{{topMessage}}
previous next
{{score}}%
{{message}}
Step {{curStepInMandatorySecPrompt}}/{{totalNumOfStepsInMandatorySecPrompt}}
For privacy and security purposes, please go through the following points and provide consent.
Accept Decline
{{cxPropBodyMessage}}
{{getI18n("zr.careers.autopopulate.success")}}
{{getI18n("zr.cw.apply.sign",cxPropCompanyInfo.name)}}
{{getI18n('zr.eeo.questionnaire.portal.maintitle')}}
{{botName}}