Data tech leader

Belgrade / Armenia, Poland, Serbia
Engineering – Data practice - Evgeniy Ismailov /
Full-time /
Remote
About Provectus
Provectus is a global technology consulting company specializing in Data, AI/ML, DevOps, and Cloud transformation. We help enterprises innovate, scale, and achieve their digital transformation goals.
We are now looking for a Senior Data Engineer to join our growing Data Practice and collaborate with a multidisciplinary team of engineers and developers.

What You’ll Do:

    • Provide hands-on technical guidance and ensure best practices in architecture, coding, and design.
    • Collaborate closely with clients to understand IT environments, business needs, and digital transformation goals.
    • Take ownership of project outcomes, ensuring timely delivery and alignment with client expectations.
    • Proactively identify risks, challenges, and opportunities for improvement, and drive solutions forward.
    • Work directly with ML Engineers to create resilient data pipelines powering Data Products.
    • Define data models to integrate disparate data across organizations.
    • Design, implement, and maintain ETL/ELT pipelines using modern tools.
    • Perform large-scale data transformations with Spark, Trino, AWS Athena.
    • Develop, test, and deploy Data API Products with Python and frameworks like Flask/FastAPI.

What We’re Looking For:

    • 5+ years of hands-on data engineering experience.
    • Proven track record in team leadership and technical advising.
    • Strong problem-solving skills and ability to take ownership in dynamic settings.
    • Solid expertise in AWS.
    • Experience handling real-time and batch data pipelines with tools like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt.
    • Proficiency in Python and SQL.
    • Familiarity with IaC tools (Terraform, AWS CloudFormation).
    • Experience in building scalable APIs.
    • Understanding of Data Governance (quality, lineage, security, glossary, MDM, cost optimization).
    • English: Upper-Intermediate+.

Nice to Have:

    • Experience with Cloud Data Platforms (Snowflake, Databricks).
    • Background in Generative AI applications (chatbots, RAG).
    • Relevant certifications (AWS, GCP, Azure, Databricks).
    • Knowledge of BI tools (Power BI, QuickSight, Looker, Tableau).
    • Experience with Data Mesh architecture.

Why Join Us?

    • Work on cutting-edge Data & AI projects for global enterprises.
    • Be part of a collaborative, innovative, and supportive culture.
    • Grow your expertise in Data, AI/ML, and Cloud technologies.