Team Leader of Data Engineering and Analytics

Data

Team Leader of Data Engineering and Analytics

Data

Chmielna 4, Warszawa

Remodevs

Full-time
Permanent
Senior
Hybrid
8 000 - 8 200 USD
Gross per month - Permanent

Tech stack

    English

    C1

    AWS

    advanced

    Azure

    advanced

    SQL

    advanced

    Python

    advanced

    Big Data

    advanced

Job description

Please note - this is hybrid with 3 days from the office in Warsaw.


Overview

We are experts in giving digital solutions and consulting services that help businesses grow and improve. We use technology to make work more efficient and create complete solutions that match the special needs of our clients in different industries. We also bring advanced technology to private capital markets with our cloud-based tools. These tools help private equity and credit funds, as well as the companies they invest in.


Responsibilities and Duties

  • Lead, teach, hire, and support a strong data engineering team

  • Build and manage strong and scalable data systems

  • Create data models to help with fast and easy data reports

  • Improve our systems to get, clean, and load data from different sources using SQL, Amazon Redshift, and other data warehouses

  • Build data tools to help the analytics and data science teams create and improve our product



Requirements

  • 8+ years of experience in data engineering or similar work

  • 5+ years of experience leading teams and speaking directly with clients

  • Good skills in using cloud ETL tools like AWS Glue and Azure Data Factory

  • Experience using Airflow, Prefect, or similar tools for organizing data tasks

  • Hands-on experience using DBT for changing and modeling data

  • Strong knowledge of data modeling (like star schema, snowflake, etc.)

  • Very good at using SQL for working with large data sets

  • Experience building and improving data systems and platforms

  • Experience with tools like AWS Lambda and cloud services

  • Knowledge of Python or R for data analysis

  • Experience working with Data Lakes, Data Warehouses, and Data Mesh

  • Experience using cloud platforms like AWS, Azure, or Google Cloud

  • Understanding of how to show data clearly and in smart ways

  • Familiar with BI tools like PowerBI, Redash, Tableau, Periscope, or Mode Analytics

  • Able to create dynamic reports and visuals using PowerBI

  • Bachelor’s degree in Computer Science or similar


Benefits

  • Flexible working options, including hybrid work

  • Strong Paid Time Off (PTO) policy

  • Full benefits package

  • Competitive salary

  • Opportunities to learn and grow professionally

  • Friendly, supportive, and inclusive work environment



Published: 18.07.2025
Office location
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