Senior Data Engineer (f/m/d) at thinkcell

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, ELT, SQL, Python, Docker, Data Governance, Data Privacy, Data Quality, Data Modeling, Distributed Processing, CI/CD, Version Control, Infrastructure-as-Code, Problem-Solving, Communication, Collaboration

Industry

Software Development

Description

Senior Data Engineer - Join Our Innovative Team at think-cell Software Our Story At think-cell, we create powerful software solutions that help professionals be more efficient and productive. Founded in 2002 and based in Berlin, our tools integrate seamlessly with Microsoft Office to help users create presentations, charts, and diagrams with ease. Our dynamic, international team values creativity, collaboration, and technical excellence. What You Will Do We are looking for a highly skilled Senior Data Engineer to design, build, and optimize data pipelines and infrastructure that power analytics, reporting, and data-driven decision-making across the business. Key Responsibilities: Collaborate with data analysts and business stakeholders to understand requirements and translate them into scalable data solutions. Design, implement, and maintain robust data pipelines and ETL/ELT processes using modern data engineering tools and frameworks. Build and optimize data models, data warehouses, and data lakes to ensure high availability and performance. Ensure data quality, reliability, and governance across all stages of the data lifecycle. Optimize workflows and system performance (e.g. SQL tuning, job scheduling, distributed processing). Write clear documentation and contribute to knowledge sharing within the data team. You will be great for this position if you have 4+ years of experience in Data Engineering, ideally in a digital/online/eCommerce business environment. Architectural thinking: you build the infrastructure to enforce modelling standards and can mentor the rest of the team to apply good principles. Proven expertise in building and maintaining scalable ETL/ELT pipelines and distributed data processing (e.g. Meltano, Airflow, Spark, Starrocks, dbt). Strong SQL and Python skills. Strong experience with Docker containers and Docker swarm. Solid knowledge of various file formats i.e. Delta, Iceberg etc. Solid knowledge of modern data best-practices with respect to modelling, architecture and database concepts. Experience with CI/CD pipelines, version control (Git), and infrastructure-as-code is a plus. Understanding of data governance, data privacy (GDPR), and security best practices. Strong problem-solving skills with a structured, detail-oriented approach. Excellent communication – able to explain complex technical concepts in simple terms. Passion for collaboration, teamwork, and building high-quality, reliable data systems. Very good language skills in English. Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking: We embrace change and challenge the status quo. Ownership: We take pride in our work and learn from our mistakes. Customer First: We prioritize delivering lasting value. Unified Team: We foster collaboration, respect, and integrity. Strive for Excellence: We set ambitious goals and pursue quality. Why is think-cell the right place for you? We empower over 1.2 million users across 30,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 150 people, committed to innovation and excellence. Think-cell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!

Responsibilities

Design, build, and optimize data pipelines and infrastructure for analytics and reporting. Collaborate with data analysts and stakeholders to create scalable data solutions.