Provectus
Sep 22, 2025 - Provectus is hiring a remote Senior Data Engineer. Location: Poland, Serbia, Armenia.
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 .
#J-18808-Ljbffr
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 .
#J-18808-Ljbffr