Join to apply for the Data Engineer role at Intapp

Get AI-powered advice on this job and more exclusive features.

Position Overview

As a Data Engineer at Intapp, you will play a pivotal role in shaping the foundation of our modern data platform. You will design and implement scalable, modular, and reusable data products and pipelines, leveraging state-of-the-art technologies like Databricks, Snowflake, and related tools. Your work will enable faster insights, stronger governance, and seamless interoperability across our data stack, while mentoring team members and driving best practices in platform architecture.

Responsibilities

Design, build, and maintain scalable data platform components, ensuring flexibility and interoperability across modern data platforms.
Implement data architectures based on the medallion framework, enabling modular, reusable, and high-quality data assets.
Collaborate with cross-functional teams to translate business requirements into reliable, governed, and production-ready data products.
Develop, optimize, and maintain efficient data pipelines in Python to support analytics, machine learning, and business intelligence needs.
Define and enforce best practices for platform development, including security, governance, monitoring, and cost optimization.
Mentor and guide junior engineers, fostering knowledge sharing and raising the overall technical bar of the team.
Stay ahead of industry trends and recommend tools, frameworks, and practices that keep our data platform future-proof.

Qualifications

Proven expertise in at least one major data platform (Databricks, Snowflake, or similar) and familiarity with the others.
Strong understanding of data product concepts and the medallion architecture.
Deep proficiency in Python, with experience building production-grade data pipelines and integrations.
Solid knowledge of SQL, NoSQL, and cloud-based data storage formats (Parquet, Iceberg, JSON, Delta, etc.).
Ability to make architectural decisions and drive platform strategy in alignment with business goals.
Excellent problem‑solving skills and attention to detail.
Strong communication skills to collaborate with technical and non‑technical stakeholders.

Preferred (Bonus)

Experience with containerization and orchestration tools (Docker, Kubernetes).
Familiarity with Azure and its data services (e.g., Azure Data Lake, Synapse, Event Hubs).
Knowledge of data governance, data security, and regulatory compliance best practices.
Hands‑on experience with data cataloging, lineage, and observability tools.
Exposure to ML/AI workflows and integrating platform capabilities with data science teams.

Benefits

Expand Your Skills: Unlock your potential with professional development opportunities supported by a community of experienced professionals. We offer reimbursement for training and continuing education to help you stay ahead in your career.
Enjoy Where You Work: Thrive in our modern, open offices designed to inspire creativity and collaboration. Our complimentary lunches and fully stocked kitchens ensure you have everything you need to stay energized throughout the day.
Support What Matters Most: Our comprehensive wellness and flexible time off programs and our benefits are designed to care for you and your family. Our family‑formation benefits and support during your family‑building journey ensure you have the resources you need when it matters most. We believe in giving back and supporting our communities with paid volunteer time off and a donation matching program for the causes you care about.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

IT Services and IT Consulting, Software Development, and Technology, Information and Internet

Location

Grossbeeren, Brandenburg, Germany

Equal Opportunity Statement

Intapp provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws.

Hiring Process Notice

Please note: Intapp will not hire through text message, social media, or email alone. We will never extend a job offer unless you have been contacted directly by an Intapp recruiter and have participated in the interview process which will generally consist of 3 or more virtual or in‑person meetings. Please note that Intapp only uses company email addresses which contain “@intapp.com” or “@dealcloud.com” to communicate with candidates via email. Intapp will never ask for financial information of any kind or for any payment during the job application process. We post all legitimate job openings on the Intapp Career Site at If you believe you were a victim of such a scam, you may contact your local authorities. Intapp is not responsible for any claims, losses, damages, or expenses resulting from scammers.

#J-18808-Ljbffr

Intapp

Jobs:

Data Engineer

Weitere Unternehmen

Prelytics

SIEDA GmbH

4ROOMS

oee.ai