Senior Data Engineer/Analyst 100% (m, f, d)
Luxembourg
Julius Baer
Julius Baer is the international reference in wealth management, based on a solid Swiss heritageAt Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.
We're seeking an experienced Senior Data Engineer/Analyst to join our team, playing a key role in designing, building, and maintaining large-scale data systems that drive business decision-making. As a senior member of our data team, you will collaborate with stakeholders to gather business requirements and develop scalable, stable, and fit-for-purpose engineering solutions.YOUR CHALLENGE
- Design, build, and maintain scalable data pipelines and ETL processes that meet the needs of our business stakeholders.
- Develop and optimize data architectures for access, analytics, and reporting, ensuring data integrity, security, and compliance with industry best practices.
- Collaborate with cross-functional teams to design and deliver a new BI and Analytics Platform, leveraging your expertise in data warehousing and reporting.
- Partner with stakeholders to gather business requirements and develop engineering solutions that meet their needs, while ensuring alignment with our overall business strategy.
- Identify technical obstacles early and work collaboratively with teams to define appropriate technology solutions, ensuring timely and effective resolution of issues.
- Coordinate, execute, and support system and integration testing to ensure seamless delivery of data solutions.
- Document solutions delivered and share knowledge with other teams to promote collaboration and continuous learning.
- Work in an agile project environment, collaborating with other Scrum, product, and technology teams to achieve the best possible outcomes for the bank and its customers.
- Participate in the resolution of production incidents, analyzing issues, specifying solutions, and implementing fixes.
YOUR PROFILE
- About You:
- You have a strong background in data engineering and analysis, with at least 5 years of experience in the financial sector/banking industry.
- You possess excellent analytical and critical thinking skills, with the ability to distill complex problems into actionable insights.
- You are collaborative and able work effectively with stakeholders at all levels, from technical teams to business leaders.
- Essential Skills:
- Strong proficiency in data modeling and database management.
- Experience with data warehousing and reporting, including data mart design and development.
- Expertise in data ingestion and transformation tools, such as SQL, Python, Spark, dbt, or equivalent.
- Familiarity with version control (Git) and CI/CD pipelines.
- Understanding of data warehousing concepts, including SCD, ODS, and SDS.
- Ability to synthesize and aggregate data in DataMart.
- Proficiency in reporting and visualization tools, such as Tableau, SSRS, or equivalent.
- Experience with banking applications data models, with knowledge of systems such as Temenos T24, Triple A, or other equivalent systems being a plus.
- Excellent communication and interpersonal skills, with the ability to present complex technical concepts to non-technical stakeholders.
- Higher academic education in computer science or other related disciplines.
- Good problem-solving and analytical skills, with experience in troubleshooting and resolving technical issues.
- Excellent written and verbal skills in English, with any additional languages (such as French or German) being an asset.
We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Banking CI/CD Computer Science Data pipelines Data Warehousing dbt Engineering ETL Git Pipelines Python Scrum Security Spark SQL Tableau Testing
Perks/benefits: Career development
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