Data Engineer with AWS @ STX Next

Hi there!

We are STX Next, a global IT consulting company specializing in customer-focused software services. Join a group of 500 professionals dedicated to helping customers build outstanding products. Leveraging the latest advancements in the field, and a passion for innovation, we're shaping the future of technology one project at a time.

Are you the NEXT one?

At STX Next, Data Engineers are creative problem-solvers who thrive at the intersection of data, innovation, and technology. Our approach to challenges is both collaborative and inventive, driven by the belief that every obstacle has a solution. You’ll join a dedicated team that transforms data into valuable systems, addressing clients' needs and elevating the experience for end users.

As a Data Engineer, you’ll work closely with international clients, providing both consultancy and technical architecture to shape reliable, high-performance data solutions. You’ll handle everything from large data sets to distributed systems, setting a high bar for data quality. If you’re excited by complex problems and want to contribute to a collaborative culture of craftsmanship, STX Next offers the platform to bring your ideas to life.

Technical expertise

Proficiency in  Apache Spark  for distributed data processing and optimization of big data workloads.

• Hands-on experience with  AWS Glue  for ETL  processes and data catalog management.
• Strong knowledge of  Apache Kafka  for building and managing real-time data streaming pipelines.
• Experience with  Terraform  for infrastructure as code, including provisioning and managing AWS resources.
• Familiarity with  Debezium  for real-time data integration and change data capture from databases.
• Working knowledge of  Amazon EKS  for deploying and managing containerized applications in a Kubernetes environment.
• Solid understanding of cloud architecture, data modeling, and data warehousing concepts.
• Experience with SQL and NoSQL databases (e.g., Amazon RDS, DynamoDB, or Redshift).

Software development practices

Soft skills

Good communication skills in English (minimum B2).

Hi there!

We are STX Next, a global IT consulting company specializing in customer-focused software services. Join a group of 500 professionals dedicated to helping customers build outstanding products. Leveraging the latest advancements in the field, and a passion for innovation, we're shaping the future of technology one project at a time.

Are you the NEXT one?

At STX Next, Data Engineers are creative problem-solvers who thrive at the intersection of data, innovation, and technology. Our approach to challenges is both collaborative and inventive, driven by the belief that every obstacle has a solution. You’ll join a dedicated team that transforms data into valuable systems, addressing clients' needs and elevating the experience for end users.

As a Data Engineer, you’ll work closely with international clients, providing both consultancy and technical architecture to shape reliable, high-performance data solutions. You’ll handle everything from large data sets to distributed systems, setting a high bar for data quality. If you’re excited by complex problems and want to contribute to a collaborative culture of craftsmanship, STX Next offers the platform to bring your ideas to life.

Develop innovative solutions for complex data challenges, using creativity and technology., Design and build data systems that fulfill client requirements and optimize user experience., Collaborate across teams to integrate unique approaches and out-of-the-box thinking into problem-solving., Serve as a trusted consultant and architect for customized data solutions for global clients., Handle large-scale data processing and manage distributed systems to ensure reliability and performance., Uphold high standards of data quality and refine approaches to align with best practices., Foster a culture of collaboration, craftsmanship, and continuous improvement.] Requirements : SQL, Python, pandas, AWS, Apache Spark, Apache Kafka, Terraform Additionally : Private healthcare, Flat structure, International projects, Multisport card, Work-life balance, Workation, Events.