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Data Engineering Lead Job Opening In Germany, Germany – Now Hiring MLabs


Job description

Data Engineering Lead (Psychedelic Therapy)

Location: Remote (Must attend two mandatory in-person events per year)

Employment Type: Full-time

Work Arrangement: Remote

About the Role

Our client, a leader in guided at-home ketamine therapy (a form of psychedelic medicine) with $50 million in funding, is seeking a Data Engineering Lead.

This individual will be responsible for building the data engine that powers personalized care, scaled therapy, and measurable patient outcomes.

This role requires strong technical ownership over the data pipeline, and a deep, personal belief in psychedelic medicines and altered states of consciousness.

You will drive key business decisions through deep-dive analysis and deploy AI tools to enhance their Functional Psychiatry approach.

What You'll Do

  • Own and evolve the data pipeline (Segment, Stitch, Snowflake, dbt) to ensure the accuracy, reliability, and trust of all metrics and dashboards across the 230-person organization.
  • Modernize the data stack and event pipeline to reduce analyst turnaround times and increase data horsepower.
  • Implement dbtCloud, backed with an MCP server, to enable the business team to combine AI with Mindbloom-specific data for enhanced insights.
  • Conduct deep-dive analyses to drive key business decisions and answer high-impact questions from every department, including the CEO.
  • Build and deploy scalable, self-serve tools that empower teams to access insights independently.
  • Work closely with the Head of Engineering and Head of Health to define and launch the next major evolution of Functional Psychiatry.

Requirements

  • 5+ years of experience in data engineering or analytics engineering (sweet spot is 6-8 years).
  • Strong emphasis and hands-on expertise with dbt (Data Build Tool).
  • Experience within a startup environment (Series C or earlier) and direct-to-consumer (D2C) experience is highly valued.
  • Must possess a deep personal connection to altered states of consciousness and a belief in psychedelic medicines.
  • Comfortable owning and evolving pipelines and deploying AI tools.

Benefits

  • Salary: $125K - $170K (The estimated annual base salary range for this role is $125,000−$170,000 USD.)
  • Equity: Heavily valued in the compensation package due to the company's funding and size.
  • Visa Sponsorship: Not available.
  • Work Policy: Fully remote, with two mandatory in-person events per year (annual company retreat and a team in-person meeting).

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion.

We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates.

We ensure no discrimination, accessible job adverts, and providing information in accessible formats.

Our goal is to foster a diverse, inclusive workplace with equal opportunities for all.

If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only.

This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws.

Your data may be shared only with clients and trusted partners where necessary for recruitment purposes.

You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Engineering Potential: Insight & Career Growth Guide


Real-time Data Engineering Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineering in Germany, Germany, highlighting market share and opportunities for professionals in Data Engineering roles.

8397 Jobs in Germany
8397
291 Jobs in Germany
291
Download Data Engineering Jobs Trends in Germany and Germany

Are You Looking for Data Engineering Lead Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at MLabs adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Germany laws and regulations

What Is the Average Salary Range for Data Engineering Lead Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Germany. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Engineering Lead?

Key qualifications for Data Engineering Lead typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Engineering Lead Job Success

MLabs interview tips for Data Engineering Lead

Here are some tips to help you prepare for and ace your Data Engineering Lead job interview:

Before the Interview:

Research: Learn about the MLabs's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Engineering Lead interview at MLabs, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the MLabs's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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