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Data Engineer (f/m/x)

About lemon.markets 🍋

Our mission is providing better opportunities to invest in capital markets. By empowering FinTechs and Banks to offer investment products, we help create financial well-being for their customers. In pursuit of this goal, we strive to open 100 million securities accounts within Europe in this decade.

lemon.markets builds infrastructure for financial services and technology companies powering the next generation of investment products. From enabling a Fintech to launch their first investment product, over allowing e.g. a Neobank to embed investing into their product to bringing investing into a completely new context. Our API-first infrastructure makes launching an investment product customer-centric and compliant. We abstract all complexity for our partners through a well documented API, a self-service customer operations portal and operating in a clear regulatory framework. Enabling partners to launch in weeks, not months.

We have experienced first hand that brokerage infrastructure is broken. Building an investment product used to be highly expensive, challenging and cumbersome. We ease this pain by shielding our partners & their customers from the underlying complexity - and with that, we make investing more accessible to everyone. Because that’s exactly what we enjoy, going to places nobody else dares and solving hard problems. This not only creates tons of value when done right, but attracts the smartest minds - because outlier companies are built by exceptional (& diverse) people like you.

Your Mission:

As a Data Engineer at lemon.markets you will play a key role in designing and maintaining the end to end pipeline of data transmission. You will be the responsible and accountable person for the Data Warehouse ensuring Correctness, Availability, Performance and Security of the data.

You will be part of the Operations Tooling (OT) domain in lemon.markets. The OT domain powered by Retool facilitates all the operational day-to-day work arising from our brokerage platform comprising Customer Lifecycle, Order Lifecycle and Post Trade domains. In a nutshell, Retool is the GUI for data powered by DWH to facilitate Customer, Securities and Cash Operations. Apart from operational work, Retool is also the basis for doing analytics for various activities that our brokerage platform performs. From customer onboarding to order placement and cash and securities settlements.

Our Tech Stack is Python, Airbyte, Redshift, DBT, AWS, Temporal, Retool and Postgres. While you could have worked in different modern tech stacks prior, you should be excited to work with these tools and learn them if you haven’t worked with them before.

You will have a significant impact on the development and maintenance of our core platform & systems - and thereby architectural decisions, as well as on the business itself. You are the first point of contact for internal functions regarding day-to-day functionality of dashboards and can reliably solve issues in a professional manner. 

Work alongside a cross-functional team of experts, and together we will leverage your previous experiences to build the investment infrastructure for the next 100 million retail investors in Europe.

About you:

  • You have the ability to write well-structured and tested code in more than one high-level programming languages like Python, Scala or Java, plus another language such as Javascript.

  • You have knowledge of data warehouse architectures (e.g., Snowflake, Redshift, BigQuery).

  • You have a track record of designing, building and operating reliable and scalable ETL pipelines.

  • You’ve gained good experience with software in a cloud environment (AWS, GCP, Azure) and the architectural patterns for this environment.

  • You have a good understanding of more than one document-based or relational database technology such as MySQL/PostgreSQL or MongoDB

  • You know how to write high-quality code that is understandable, maintainable and well tested, and can guide other engineers to do the same via code reviews.

  • You should be able to write high quality documentation catering to both technical and non-technical stakeholders

  • You have good problem-solving skills and the ability to provide in-depth evaluations and analyses of unique and complex technological issues.

You will be successful in this role if:

  • Growing investment opportunities excites you. We operate in a highly regulated environment and therefore having worked prior in a Fintech or financial Service provider would give you a head start, but is not a must.

  • You see yourself as a product engineer. That means, you are excited by solving customer problems and strive to become an expert in the domain area you are working in.

  • You enjoy building from scratch. This means high involvement in the product development process itself while advocating for the best engineering practices. It also means that you enjoy taking technical decisions.

  • You are ready and willing to take ownership of problems and act on them decisively with no supervision. You always thrive for high quality outcomes through focus, determination and attention to detail.

  • You are a team player. Working together as a team, sharing knowledge & providing mentorship comes naturally to you. Long term - you consider becoming a team lead.

  • You have no problem with learning new technologies on the go. You try to solve problems with more things than the ones you already know. We will always enable you with that, but your willingness has to come first.

  • You understand what working in a startup or a similar lean organisation is like. You are able to work with a small team in a lean environment, can move quickly and focus on what's truly important.

We're looking for people with passion, desire to learn and that are team players. You're encouraged to apply, even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns.

How we take care of you:

🚀Competitive compensation package:

We will offer you a mix of cash and stock options based on your appetite for upside.

💎Make a real impact:

Shape the experience for our customers and us alike. Decide on tools, processes and the architecture design of our Platform & API, while building, learning and growing together.

🕑Flexible working hours:

We value focus time. Encouraging everyone to minimise fixed meetings and leverage asynchronous communication.

💻Build your perfect setup:

Mac/Linux, Mechanical Keyboard, Screen. These are not expenses but investments. Please tell us what is needed to make you productive, and we will take care of it.

🏢 Hybrid work:
We all believe that in-person collaboration is an integral part of working together, but we offer flexibility to work from home across Europe. That means, lemoneers work 4 days or more per month on-site, spending quality time together with the team at events, offsites or over team dinners. 

📈 Grow with us:

We take your personal development seriously, meaning that we make sure to constantly mentor and challenge you so that you can reach your next level and beyond.

👶🏽 Get the flexibility you need:

Whether you have a family or a passion that you want to follow on the side. We want to offer you a setting that fits your current stage in life.

About the process

  1. Get to know us - Talent - Melissa | 30 minutes

  2. EM Screening - Ashish - EM Post Trade | 60 minutes

  3. Take home task + Review - A selection of lemoneers

  4. Meet the team @ lemon.markets HQ | 120 minutes

    1. Deep Dive of Take Home Task - Henrik - Backend Engineer & Alexandru - Frontend Engineer | 60 minutes

    2. Principles Session/Meet the Team - A selection of lemoneers | 60 minutes

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Average salary estimate

$77500 / YEARLY (est.)
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$65000K
$90000K

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What You Should Know About Data Engineer (f/m/x), lemon.markets

Joining lemon.markets as a Data Engineer (f/m/x) means you’ll be stepping into a pivotal role that drives our mission of simplifying investment opportunities across Europe. Based in Berlin, you’ll be at the heart of innovation, collaborating with a talented team dedicated to reshaping the financial landscape. As a Data Engineer, you will design and maintain our data transmission pipeline, ensuring the highest standards of correctness, availability, performance, and security within our Data Warehouse. This involves tackling exciting challenges with tools such as Python, Airbyte, Redshift, and AWS—all crucial in enabling our partners to launch investment products swiftly and efficiently. You’ll be the go-to person for our internal teams regarding dashboard functionalities, employing your problem-solving prowess to handle day-to-day operational tasks. Your past experiences will contribute greatly to shaping the architecture of our core platform, helping us reach our ambitious goal of opening 100 million securities accounts in Europe. At lemon.markets, your ideas and inputs will guide our continuous improvement, and in return, you’ll enjoy a flexible work environment, competitive compensation, and the opportunity to grow and learn alongside some of the industry’s brightest minds. Let’s empower the next generation of investors together!

Frequently Asked Questions (FAQs) for Data Engineer (f/m/x) Role at lemon.markets
What are the key responsibilities of a Data Engineer at lemon.markets?

As a Data Engineer at lemon.markets, your key responsibilities include designing and maintaining the end-to-end data transmission pipeline, managing the Data Warehouse, and ensuring data correctness, availability, performance, and security. You'll work closely with the Operations Tooling team to facilitate daily operations and analytics, contributing to crucial tasks across customer onboarding, order placement, and cash operations.

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What qualifications do I need to become a Data Engineer at lemon.markets?

To qualify for the Data Engineer position at lemon.markets, candidates should have experience in high-level programming languages like Python or Java and possess knowledge of data warehouse architectures. Additionally, familiarity with ETL pipeline design, cloud environments (AWS), and excellent problem-solving skills are essential. A background in FinTech or financial services is beneficial, but not mandatory.

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What technical skills are important for a Data Engineer at lemon.markets?

Technical skills for a Data Engineer role at lemon.markets include proficiency in programming languages (Python, Scala, or Java), experience with data warehouse technologies (like Redshift or BigQuery), and cloud computing knowledge (AWS, GCP, Azure). Understanding relational and document-based database technologies is also important for successfully engaging with our varied data landscape.

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What is the work culture like for Data Engineers at lemon.markets?

At lemon.markets, the work culture is collaborative and innovative, encouraging team members to share knowledge and mentor each other. We value flexibility, allowing our Data Engineers to work both in-office and remotely. The environment is dynamic, with an emphasis on tackling complex challenges and fostering personal and professional growth.

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What growth opportunities are available for Data Engineers at lemon.markets?

Data Engineers at lemon.markets have ample growth opportunities, including mentorship programs that challenge and develop your skills. You can take ownership of projects, make significant architectural decisions, and potentially evolve into team leadership roles. We prioritize career development, ensuring our team members can continuously learn and progress.

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Common Interview Questions for Data Engineer (f/m/x)
Can you describe your experience with ETL pipelines?

In answering this question, provide detailed examples of ETL processes you've designed or managed. Focus on the tools you used, challenges you faced, and the impacts your work had on data quality and availability.

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How do you ensure data quality and security in your work?

Discuss specific methodologies you use to validate data integrity and protect data security. Mention any best practices like regular audits, error tracking, and compliance with regulations that you've followed in past projects.

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What databases have you worked with, and how do you choose the right one for a project?

Share your hands-on experiences with databases like PostgreSQL or MongoDB, elaborating on how you assess project requirements to determine the appropriate database technology. Highlight factors such as scalability, reliability, and speed.

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Describe a challenging data problem you solved. What was your approach?

Use the STAR method (Situation, Task, Action, Result) to outline a specific data issue you encountered. Explain the context, your role, the steps you took to resolve it, and the positive outcomes that resulted from your efforts.

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

Discuss the resources you utilize to keep your knowledge fresh, such as attending conferences, following industry blogs, or participating in online courses. Emphasize your enthusiasm for continuous learning and how it benefits your work.

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Can you explain a time when you had to collaborate with a cross-functional team?

Illustrate your ability to communicate effectively with different team members by detailing a project where you collaborated with stakeholders from various departments. Highlight your role, the challenges of collaboration, and the successful outcomes achieved.

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What do you think is the future of data engineering?

Reflect on trends like the rise of machine learning, automation, and data democratization. Convey your perspective on how these trends will shape the role of data engineers, emphasizing the importance of adaptability and innovation.

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How do you handle tight deadlines in your projects?

Describe a strategy for managing your time effectively under pressure, such as prioritizing tasks, setting realistic goals, and leveraging teamwork. Provide an example of a successful project completed under a deadline.

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What would you approach to optimize ETL processes?

Explain the common bottlenecks in ETL processes and provide examples of optimizations you've made, such as parallel processing, using appropriate tools, or simplifying workflows to enhance efficiency.

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Why do you want to work as a Data Engineer at lemon.markets?

Show your understanding of lemon.markets' mission and values. Express your excitement about contributing to a company focused on improving investment accessibility and how your skills fit perfectly into helping achieve that goal.

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Full-time, hybrid
DATE POSTED
April 2, 2025

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