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- Aufgaben: Develop a scalable cloud-based data backbone and create financial data models.
- Arbeitgeber: Join Scalable Capital, a leading digital investment platform empowering financial futures in Europe.
- Mitarbeitervorteile: Enjoy remote work options, a great office location, and an individual education budget.
- Warum dieser Job: Be part of a fast-growing Fintech startup making a real impact with innovative services.
- Gewünschte Qualifikationen: Excellent degree in relevant fields, experience with AWS, SQL, Python, and a passion for data.
- Andere Informationen: Work with a diverse team and access the latest tools and hardware.
Das voraussichtliche Gehalt liegt zwischen 43200 - 84000 € pro Jahr.
- Full-time
Company Description
Scalable Capital is a leading digital investment platform in Europe. The company empowers everyone to shape their financial future. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs and other exchange-traded products and set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios and is also adopted as a white-label solution by renowned B2B partners. With the European Investor Exchange (EIX) Scalable Capital offers a stock exchange for retail investors in Europe. Over 27 billion euro is held on the platform by more than one million clients.
Scalable Capital was founded in 2014 and employs more than 500 people at its offices in Munich, Berlin, Vienna, and London. Together with the founding and management team around Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.
Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say.
Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).
Job Description
- Develop our scalable cloud-based data backbone which drives our data-driven company using the most up-to-date technologies in the data space
- Shape an AWS-based batch data processing and data streaming solution, ingesting data from our internal backend services as well as from third parties
- Create a financial data warehouse combining the latest technologies with features required due to regulatory needs
- Prepare and clean structured and unstructured data and develop high-quality data models for reporting, advanced analytics, and AI use cases
- Work with highly ambitious and skilled people in our growing data teams
- Work closely together with our data scientists, product & development colleagues to release smart features for our product
- Share your expert knowledge about data best practices within the company
Qualifications
- Excellent University degree in computer science, mathematics, natural sciences, or a similar field and relevant working experience
- Experience designing and operating data pipelines in AWS
- Excellent SQL Skills, including advanced concepts such as window functions. Experience with dbt is strongly desired
- Very good programming skills in Python, ideally including Airflow and data processing frameworks (e.g. PySpark)
- Knowledge of Java and Kotlin is a plus
- Experience with AWS Services like S3, Athena, DMS and Glue
- Experience using infrastructure-as-code tools such as Terraform
- A passion for everything-as-code, and code that is well architected, testable and documented
- Data-driven and good with numbers whilst being able to explain complex concepts in simple terms
- Experience using agile frameworks like Scrum
- Understanding of data governance requirements for a regulated industry
- Interest in financial services and markets
- Fluent English communication and presentation skills
- Sense of humour and positive outlook on life
Additional Information
- Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers
- Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients
- Work from our centrally located offices in the heart of Munich or Berlin, nestled in lively neighborhoods filled with vibrant restaurants, cozy cafés, and a wide range of convenient amenities or choose to work remotely within Germany(if eligible for the job)
- Be productive with the latest hardware and tools
- Learn and grow by joining our in-house knowledge sharing sessions and spending your individual Education Budget
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(Senior) Data Engineer (m/f/x) (onsite / remote in Germany) Arbeitgeber: Scalable GmbH
Kontaktperson:
Scalable GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: (Senior) Data Engineer (m/f/x) (onsite / remote in Germany)
✨Tip Number 1
Make sure to familiarize yourself with AWS services like S3, Athena, Redshift, and Glue. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your capability to handle the responsibilities of the role.
✨Tip Number 2
Brush up on your SQL skills, especially advanced concepts like window functions. Being able to showcase your expertise in SQL during discussions can set you apart from other candidates.
✨Tip Number 3
Engage with the data engineering community online. Participate in forums or groups focused on AWS and data pipelines. This will not only expand your knowledge but also help you network with professionals who might provide insights or referrals.
✨Tip Number 4
Prepare to discuss your experience with agile frameworks like Scrum. Being able to articulate how you've successfully worked in agile teams will resonate well with the company's collaborative culture.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: (Senior) Data Engineer (m/f/x) (onsite / remote in Germany)
Tipps für deine Bewerbung 🫡
Understand the Company: Familiarize yourself with Scalable Capital's mission and services. Highlight your understanding of their digital investment platform and how your skills can contribute to their goals.
Tailor Your CV: Customize your CV to emphasize relevant experience in data engineering, particularly with AWS and SQL. Include specific projects or achievements that demonstrate your expertise in building data pipelines and working with cloud technologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and financial services. Mention your programming skills in Python and any experience with tools like Terraform, and explain how you can add value to their team.
Showcase Your Soft Skills: In your application, don't forget to highlight your communication skills and ability to work in a team. Scalable Capital values collaboration, so provide examples of how you've successfully worked with cross-functional teams in the past.
Wie du dich auf ein Vorstellungsgespräch bei Scalable GmbH vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS services, SQL, and Python in detail. Highlight specific projects where you've designed data pipelines or worked with data models, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Mission
Familiarize yourself with Scalable Capital's products and services. Being able to articulate how your role as a Data Engineer contributes to their mission of empowering clients in their financial future will show your genuine interest in the company.
✨Prepare for Behavioral Questions
Expect questions about teamwork and collaboration, especially since you'll be working closely with data scientists and product teams. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Demonstrate Your Passion for Data
Share examples of how you stay updated with the latest trends in data engineering and analytics. Discuss any personal projects or contributions to open-source that reflect your enthusiasm for the field.
