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- Aufgaben: Develop a scalable cloud-based data backbone and create financial data warehouses.
- 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 computer science or similar, with experience in AWS and strong SQL skills.
- Andere Informationen: Work with a diverse team and enjoy knowledge sharing sessions to boost your growth.
Das voraussichtliche Gehalt liegt zwischen 43200 - 84000 € pro Jahr.
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 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 streaming and batch data processing solution, ingesting data from 3rd party as well as our internal backend services
- Create a financial data warehouse combining latest technologies with features required by regulatory requirements
- Prepare and clean structured and unstructured data and develop high-quality data models for advanced analytics, machine learning and AI use cases
- Work with highly ambitious and skilled people in our growing data department
- Work closely together with our data scientists, product & development colleagues to release smart features for our product
- Build interactive dashboards and reporting solutions to support stakeholders, such as management, marketing, sales and quantitative research
- Share your expert knowledge about data best practices within the company
Qualifications
- Excellent University degree in computer science, mathematics, natural sciences, or 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 a plus
- Very good programming skills in Python, including frameworks like PySpark
- Knowledge of Java and Kotlin is a plus
- Experience with AWS Services like S3, Athena, Redshift 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
- 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
- Enjoy an office in a great location in the middle of Munich, Berlin, 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
#J-18808-Ljbffr
(Senior) Data Engineer (m/f/x) (onsite / remote in Germany) Arbeitgeber: Bosch Group
Kontaktperson:
Bosch Group HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: (Senior) Data Engineer (m/f/x) (onsite / remote in Germany)
✨Tip Number 1
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 work on the scalable cloud-based data backbone that Scalable Capital is developing.
✨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 and show that you're ready to tackle complex data challenges.
✨Tip Number 3
Engage with the data engineering community online. Participate in forums or groups focused on AWS and data processing technologies. This will not only expand your knowledge but also help you network with professionals who might provide insights or referrals for the position.
✨Tip Number 4
Show your passion for financial services and markets. Research current trends and challenges in the fintech space, and be prepared to discuss how your skills can contribute to innovative solutions at Scalable Capital.
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 experience with Python, AWS, and any relevant frameworks, and explain how you can add value to their team.
Showcase Your Technical Skills: In your application, clearly outline your technical skills, especially in SQL, Python, and AWS services. Provide examples of how you've used these skills in previous roles to solve complex problems or improve processes.
Wie du dich auf ein Vorstellungsgespräch bei Bosch Group 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 Financial Context
Since Scalable Capital operates in the financial services sector, familiarize yourself with basic financial concepts and how data plays a role in investment strategies. This knowledge will help you connect your technical skills to the company's mission.
✨Emphasize Collaboration
The role involves working closely with data scientists and product teams. Be ready to share examples of how you've successfully collaborated in past projects, showcasing your ability to communicate complex ideas simply and effectively.
✨Prepare for Behavioral Questions
Expect questions about your problem-solving approach and how you handle challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses, focusing on your adaptability and positive outlook.
