Join Podix as a Senior Data Engineer to design, implement, and maintain robust data pipelines for a leading education and digital learning company. You will work closely with cross-functional teams to translate business goals into scalable data engineering solutions. Strong experience in cloud-based data platforms, AWS data services, and data engineering is required.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
PODIX is a Bulgarian IT service company focused on offshore/nearshore software development services. We cover a diverse range of technologies in various industries – from creative and design to front-end and mobile development and back-end integration, testing and delivery.
We are looking for a Senior Data Engineer to join one of our partners in the education and digital learning space, where data is a core driver behind product innovation and user experience. The company is entering a new phase of international expansion, growing both its platforms and product portfolio across multiple markets and domains.
Your Responsibilities:
- Design, implement, and maintain robust data pipelines that ingest data from multiple sources — APIs, operational databases, log files, and event streams — and load it into cloud-based data lakes and data warehouses.
- Contribute to the architecture and continuous evolution of cloud-native data platforms, ensuring performance, scalability, and security as data volumes and use cases grow.
- Introduce testing, monitoring, and optimisation practices across pipelines and platforms. Investigate production issues, identify root causes, and implement long-term fixes that improve system stability.
- Work closely with product managers, engineers, analysts, and data scientists to translate business goals and product requirements into effective, scalable data engineering solutions.
- Take ownership of data quality and integrity by implementing practical validation mechanisms. Ensure privacy, security, and governance standards are consistently met, while contributing to improvements in data quality frameworks.
- Partner with Product, Design, Engineering, and Data teams in an Agile environment to build a more customer-focused, data-informed organisation.
Requirements:
- Strong experience in designing and operating cloud-based data platforms, including data lakes and data warehouses;
- Hands-on experience with AWS data services such as Kinesis, EventBridge, Glue, Lake Formation, and AppFlow;
- Strong proficiency in Python and SQL, with the ability to work confidently with additional programming languages when required;
- Experience working with both SQL and NoSQL databases (e.g. MySQL, DynamoDB);
- Experience building batch and streaming data pipelines using Spark and modern data processing frameworks;
- Solid understanding of data modelling, partitioning, and compaction strategies in data lakes;
- Practical experience with event-driven and real-time streaming architectures;
- Demonstrated ability to translate business and product requirements into scalable data engineering solutions;
Advantages / Considered as a Plus:
- Hands-on experience with Snowflake and Salesforce Customer Data Platforms;
- Deeper expertise across the AWS data ecosystem and cloud-native architecture patterns;
What PODIX offers to our co-workers and co-friends:
- Fully remote position;
- Great remuneration and social benefits;
- Opportunity to participate in many interesting long-term projects with different scope and scale for European and US clients;
- Exciting and challenging client-side projects;
- A friendly working environment and open company culture;
- The ability to manage your own workday by choosing to start anywhere between 8:00 and 10:00 a.m.;
- We can offer you a full-time contract tailored to your needs.
If you are ambitious and think you can meet our requirements, take a step toward your career progression and give it a try! Send us your CV!
Please, do not hesitate to contact us for additional information.
All applications will be treated with strict confidentiality.
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