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Data Engineer

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Job description

We are seeking a talented and motivated Senior Data Engineer to join our team. The person will play a key role in designing, building, and optimizing next-generation Lakehouse data platforms. This is a hands-on role focused on transforming complex, legacy datasets into structured, high quality data products that power analytics and operational workflows. We are looking for a proactive, independent problem-solver who excels in a fast-paced rebuild environment, maintains code stability (including AI generated code), and drives rapid iteration.

#LI-Remote

#LI-PP1

Your responsibilities

• Design and implement robust, scalable data ingestion and transformation pipelines using Databricks, PySpark, and distributed processing, and utilize Airflow (or similar) for reliable workflow orchestration

• Implement Delta Lake principles, focusing on CDC and schema evolution, and establish data quality frameworks (e.g., Great Expectations) within CI/CD pipelines for data integrity

• Develop and optimize complex SQL and Python scripts, integrating diverse data sources (APIs, S3 files, etc.) and handling both structured and unstructured data

• Support the implementation of data governance and cataloguing solutions (e.g., Unity Catalog) and proactively investigate and improve inconsistent legacy datasets

• Guide and manage AI agents for code generation, ensuring quality and stability

• Work pragmatically and collaboratively to drive technical solutions

Our requirements

To succeed at this job, you must have:

Technical & Professional Qualifications

• 5+ years of professional experience in data engineering, focused on cloud and distributed processing environments

• Strong experience with Databricks, PySpark, distributed processing, and Delta Lake, with deep knowledge of CDC and schema evolution

• Expert SQL optimization and Python skills, with hands-on experience using Airflow (or similar)

• Familiarity with relevant AWS components and good understanding of CI/CD for data workflows and implementing data quality frameworks

• Knowledge of streaming platforms (Kafka/Kinesis) and exposure to Unity Catalog or similar governance tools

• Proactive problem-solver, comfortable working with complex, inconsistent data without needing explicit specifications

• Able to work independently in a fast-paced rebuild environment, collaborative, pragmatic, and thriving on rapid iteration

• Skilled at directing AI agents to code while maintaining high quality standards

Benefits

• Internal Mobility Program – enjoy many opportunities for career growth, job rotations, diversity of projects & technologies

• Referral Program – enjoy cooperation with your colleagues and get a bonus!

• 5/10 Years NATEK Club – we offer long-term cooperation and celebrate each fifth year cooperation anniversary with gifts

• NATEK CSR Events & team buildings – enjoy our values: accountability, partnership and expertise and #workITwithus

• Education – benefit from our know-how, learning courses and certificates and IT events – be part of the community of leaders of the industry and take part as a speaker or a visitor

• Multisport

• Technical and Personal training

• Language courses

Additionally only for employment contract:

- Cafeteria

- Financial Contribution for Meals

- Life insurance

- Bonuses for Personal Events

- Day off for volunteering

Model:
Remote
Locations: Bulgaria
Type of contract:
B2B or CoW
Categories: Database

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    In NATEK you will have a chance to share your passions with other coworkers: Oksana and Wojtek made some kilometers for our #ActivityForCharity challenge.

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