[Hiring] Senior Data Engineer @Provectus

Provectus; Deutschland; Remote; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A global technology consulting company is seeking a remote Senior Data Engineer. The role involves providing technical guidance, collaborating with clients on data transformation goals, and developing resilient data pipelines using technologies such as AWS and Python. Applicants should have over 5 years of experience in data engineering and a proven track record in team leadership. Competitive compensation and a dynamic work environment await.

Qualifikationen

• 5+ years of hands-on data engineering experience.
• Solid expertise in AWS.
• Experience handling real-time and batch data pipelines.

Aufgaben

• Provide hands-on technical guidance and ensure best practices.
• Collaborate closely with clients to understand their needs.
• Design, implement, and maintain ETL/ELT pipelines.

Kenntnisse

AWS

Python

SQL

Data Engineering

Problem-solving

Team leadership

Tools

Spark

Trino

Airtflow

Kafka

Terraform

Python Frameworks (Flask/FastAPI)

Jobbeschreibung

Overview

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

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.