Data Engineer - Focus: Data Projects (all genders)

Join our global team of experts

At diconium, you will work on projects that create value from software, data, and AI, enabling businesses to achieve more with less. You will collaborate with over 2,300 fellow experts to support global leading companies in maximizing the impact of digital efforts and delivering solutions with measurable business impact. We prioritize people and genuine human connection, ensuring a supportive and inclusive work environment. And we give you maximum flexibility thanks to our hybrid workplace.

WHAT YOU CAN EXPECT

• Infrastructure Design and Automation

o   Build and manage scalable, secure cloud infrastructures in Azure and AWS tailored for data products.

o   Leverage Terraform to automate infrastructure provisioning and configuration.

• Data Product Development

o   Collaborate with data engineers to build and maintain data pipelines using Apache Spark with Python and SQL.

o   Optimize data workflows for performance, scalability, and cost efficiency.

o   Support the end-to-end lifecycle of data products, from prototype to production deployment.

• Data Modeling and Optimization

o   Develop and optimize data models to support analytical and operational needs.

o   Implement best practices for data storage, partitioning, and retrieval to improve pipeline efficiency.

• Testing and Validation

o   Develop testing processes for data quality and pipeline validation in cooperation with QA Engineer.

o   Perform root cause analysis on data inconsistencies and implement corrective actions.

• Self-Driven Problem Solving

o   Take ownership of tasks and proactively address challenges with minimal supervision.

o   Identify areas for improvement in processes and systems, proposing and implementing solutions.

• Collaboration & Knowledge Sharing

o   Work closely with cross-functional teams, including data scientists, engineers, and stakeholders.

o Document infrastructure setups, workflows, and best practices to ensure knowledge sharing.

WHAT YOU BRING ALONG

• Hands-on expertise in Azure and AWS environments.

• Proven experience with Apache Spark, Python, and SQL for Big Data processing.

• Strong knowledge of Terraform for infrastructure as code (IaC).

• Knowledge of data lake and data warehouse solutions in cloud environments (e.g., Azure Data Lake, AWS Redshift).

• Nice to have: Certifications such as AWS Certified Data Analytics, Microsoft Azure Data Engineer, or similar.

WHAT WE HAVE TO OFFER

Discover new skills and improve your strengths, adapt your working day to your personal lifestyle, celebrate community, sustainability and diversity. And sweeten your working life with awesome perks and benefits!

Professional & Personal Growth: Develop yourself both professionally and personally through training programs, free language courses, competence centers and an active tech community.

Flexible Work-Life Balance: Benefit from hybrid work, workation, flexible hours, parental support and sabbaticals.

Embrace Diversity & Sustainability: Engage in our Sustainability Hub, diverse communities, Diversity Taskforce and after-work activities.

Comprehensive Benefits: Enjoy public transport tickets, job bikes, health offers, supplementary insurances, a pension plan and various discounts.

WHAT WE VALUE

At diconium, we value and recognize the unique perspectives and experiences of each individual. With this in mind, we welcome and cherish every single application equally. At the same time, we stand up against any type of discrimination and harassment based on gender, age, skin color, religion, sexual orientation, origin, disability, gender identity and other protected characteristics.
 

If you have any questions, feel free to reach out.

Your contact person is

Ioana, ioana.sabau@diconium.com