Senior Data Engineer

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?

Job description

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.

Responsibilities

1. Develop innovative solutions for complex data challenges, using creativity and technology.

2. Design and build data systems that fulfill client requirements and optimize user experience.

3. Collaborate across teams to integrate unique approaches and out-of-the-box thinking into problem-solving.

4. Serve as a trusted consultant and architect for customized data solutions for global clients.

5. Handle large-scale data processing and manage distributed systems to ensure reliability and performance.

6. Uphold high standards of data quality and refine approaches to align with best practices.

7. Foster a culture of collaboration, craftsmanship, and continuous improvement.

Requirements

• Minimum 7 years of experience in Data Engineering

• Strong background in designing and implementing scalable data processing systems (pipelines, ETL processes, data warehouses, and data lakes)

• Hands-on experience with implementing data warehousing solutions like Snowflake, Databricks or Apache Iceberg

• Strong background and at least 3 years of hands on experience in either AWS or Azure data engineering services

• Practical experience with dbt for data transformation

• Strong SQL skills and experience with relational databases

• Familiarity with Apache Airflow for workflow orchestration

• Proficiency in Python for data engineering tasks

• Strong problem-solving and analytical thinking abilities

• Good communication skills in English (minimum B2 level).

  
  

Benefits

1. Work-life balance- We are open to discussing individual needs. Set up working hours and remote work scheduled with your team and manager, in a way that works for both sides.

2. Reimbursed private medical care (Medicover) and Multisport- We care about the health and well-being of our colleagues. Choose a sports card and dedicated medical care for yourself and your relatives.

3. Leader’s support- Work with true enthusiasts and professionals who will support you along the way. You can count on leaders and experts who are willing to share their knowledge so that you too can join their ranks someday.

4. Technology focus- Python and JavaScript are not our only strengths, we are also very good at React Native, IoT, Machine Learning, .Net, DevOps and Blockchain.

5. Growth review- Junior, Regular or Senior? Every year we have a chance to discuss acquired skills and prepare a development plan for upcoming months.

6. Events- Attend exciting internal webinars, celebrate special days with us, and join us at conferences and meetups as a listener or speaker!

7. Workation- Team trips where you have a chance as a team not only to work together, but also integrate f2f.