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Data Engineer


A well-established Swiss-originated private equity and venture capital firm based in Geneva, with a diverse investment portfolio that includes secondaries, buyouts, and ventures. The firm boasts a global footprint and an extensive network across key markets, with offices in major financial centers such as Geneva, New York, London, and Cairo. The team comprises over 40 young and dynamic professionals.

The company is embarking on a digitalization effort, aiming to transition to a data warehouse and implement initiatives that enhance decision-making and drive success.

Role Summary: The Data Engineer plays an integral role in the data warehouse transition and operation. In this role, you'll have the opportunity to make a significant impact on our business by designing data pipelines to extract, transform, and load (ETL) data from various sources into the data warehouse and collaborate with the Data Analyst to support the business needs.

Key Responsibilities:

  • Play an integral role in the data warehouse transition by designing and implementing data integration, migration, and optimization solutions.
  • Design and implement data pipelines to extract, transform, and load (ETL) data from various sources into the data warehouse.
  • Collaborate with the Data Analyst to understand their data needs and provide data solutions that support their analysis and reporting requirements.
  • Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
  • Writes unit/integration tests, contributes to engineering documentation, and documents work.
  • Design, develop, and maintain scalable data pipelines and architectures to support data analysis and reporting needs.
  • Stay abreast of new data engineering technologies and evaluate their suitability for organizational needs.

  • Bachelor’s or higher in Computer Science/Engineering, Data Science, Information Systems, or a related technical field.
  • 5+ years of experience as a Data Engineer, with a focus on data warehouse implementation and management.
  • Excellent communication and collaboration abilities, with fluency in English.
  • Experience designing, building, and maintaining data processing systems
  • Experience working with either a Map Reduce or an MPP system on any size/scale
  • Proven experience in database technologies (e.g., SQL, MySQL, PostgreSQL), schema design and dimensional data modeling, and relational database concepts, ETL technologies, and analytics.
  • API development experience and Microsoft Azure
  • Exceptional analytical, problem-solving, and critical thinking skills.

Average salary estimate

$115000 / YEARLY (est.)
min
max
$100000K
$130000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer, On-Hire

Are you passionate about data and looking for an exciting opportunity with a well-established firm? Join us as a Data Engineer with a private equity and venture capital firm originating from Switzerland right in the heart of Geneva! In this role, you'll be an essential player in our journey towards digital transformation as we transition to a state-of-the-art data warehouse. You’ll design innovative data pipelines to extract, transform, and load data from various sources, making a meaningful contribution to our decision-making processes. Working closely with our talented Data Analysts, you will provide data-driven solutions tailored to their analytical and reporting needs. If you thrive in a dynamic environment where you can showcase your expertise in building and maintaining scalable data architectures, then this is the place for you! With a vibrant team of over 40 young professionals and a strong global presence, we value collaboration, innovation, and growth. We are excited to have someone with your background, including at least 5 years of experience in data engineering and a solid grasp of database technologies. If you possess exceptional problem-solving skills, as well as a keen interest in exploring new data engineering technologies, don’t miss this chance to elevate your career with us! We can’t wait to see how you’ll help drive our success!

Frequently Asked Questions (FAQs) for Data Engineer Role at On-Hire
What are the key responsibilities of a Data Engineer at this private equity firm in Geneva?

At this private equity firm in Geneva, the Data Engineer plays a vital role in the transition to a data warehouse. Key responsibilities include designing and implementing data integration solutions, developing data pipelines for ETL processes, and collaborating with Data Analysts to meet reporting needs. Additionally, you'll be maintaining data pipelines, building API integrations, and documenting work to ensure smooth operations.

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What qualifications are required for the Data Engineer position at the Geneva-based firm?

To qualify for the Data Engineer position at our Geneva-based firm, candidates should hold a Bachelor’s degree or higher in Computer Science, Data Science, or a related field. They must have at least 5 years of experience in data engineering, particularly with data warehouse management, and be proficient in database technologies such as SQL and ETL methods.

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How does a Data Engineer contribute to decision-making at this private equity and venture capital firm?

A Data Engineer contributes to decision-making at the private equity and venture capital firm by developing robust data pipelines that ensure high-quality data is readily available for analysis. By collaborating closely with the Data Analysts, the Data Engineer facilitates the extraction, transformation, and loading of data, directly impacting the accuracy and efficiency of business insights and strategic decisions.

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What kind of technologies should a Data Engineer be familiar with for this role in Geneva?

A Data Engineer at this Geneva firm should be well-versed in database technologies such as SQL, MySQL, and PostgreSQL. Familiarity with ETL technologies is crucial, along with experience in API development and cloud platforms like Microsoft Azure. Staying updated on the latest data engineering technologies is also important for optimizing solutions tailored to the firm's needs.

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What soft skills are important for a Data Engineer at this private equity company?

In addition to technical expertise, soft skills are vital for a Data Engineer at our private equity company. Strong communication skills are essential for collaborating with Data Analysts and stakeholders. Excellent problem-solving abilities and critical thinking are also needed to address data challenges effectively and contribute meaningful solutions to enhance the business.

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Common Interview Questions for Data Engineer
Can you describe a data pipeline you’ve built and the technologies you used?

When answering this question, be specific about the tools and technologies you used, such as SQL, Python, or specific ETL platforms. Discuss the data sources, the transformation processes, and how it improved data accuracy or reporting efficiency.

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How do you approach optimizing existing data solutions?

To optimize existing data solutions, start by analyzing current performance metrics to identify bottlenecks. Discuss strategies such as indexing, improving ETL scripts, or redesigning schemas to enhance efficiency and reduce processing time.

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What challenges have you faced in data warehousing, and how did you address them?

Identify a specific challenge, such as data quality issues or integration problems, and explain how you approached the problem. Highlight the steps taken to resolve it, including collaboration with colleagues and deploying new tools or processes.

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How do you ensure the accuracy and integrity of data throughout the ETL process?

Discuss techniques you use to validate data during the ETL process, such as data profiling, unit testing, and implementing quality checks after data loading. This showcases your commitment to data reliability.

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What database technologies do you have experience with, and how have you used them?

List your experience with various database technologies like PostgreSQL or MySQL and provide examples of projects where you utilized these technologies successfully, explaining the impact on data performance and reporting.

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Can you explain your experience with API development?

Discuss your experience in creating APIs for data integration, mentioning specific use cases. Describe any tools or frameworks used, focusing on how these APIs enhanced data accessibility for stakeholders.

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How do you stay updated with new data engineering trends and technologies?

Share your methods for continuous learning, like following industry blogs, participating in webinars, or being involved in data engineering communities. This highlights your proactive approach to professional development.

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Explain the importance of documentation in data engineering.

Discuss how documentation supports knowledge transfer, provides clarity for future data engineers, and helps in maintaining data pipelines. Emphasize that good documentation also plays a role in project scalability.

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What role does collaboration play in your work as a Data Engineer?

Emphasize the importance of collaboration between various departments, like Data Analysts and Business Intelligence teams. Discuss specific instances where collaboration led to impactful data solutions for the organization.

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Why are you interested in the Data Engineer position at this firm?

Express your enthusiasm for the firm’s goals, such as digitalization efforts and the chance to work with a dynamic team. Mention how your skills align with the job responsibilities, tying it back to the firm's mission.

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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
March 17, 2025

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