Job description
Project overview
Data Engineer - Spark, Python, Databricks - vacancy for our Zurich based client in the Banking sector.
Responsibilities
Your experience/knowledge:
Your soft skills:
- Design, develop and maintain data pipelines and Back End services for Real Time decision-making, reporting and data collection.
- Build and support robust data management, transformation and modelling solutions for analytical use cases.
- Produce high-quality, well-tested and secure code that supports reliable data platform delivery.
- Develop processes that strengthen data governance, data security and data quality.
- Work with modern cloud-based data technologies and contribute within CI/CD environments.
- Collaborate with stakeholders and technical teams to improve platform design and implementation.
- Degree in Computer Science, Data Analytics, Information Systems or a related technical field, or equivalent experience.
- At least 5 years' experience in ETL/ELT, data warehousing, Business Intelligence and workflow/pipeline integration.
- Strong hands-on experience building end-to-end data systems using Python, Scala or similar languages.
- Strong hands-on experience with Apache Spark, PySpark, and/or Spark Streaming; this experience must be clearly demonstrated on the CV.
- Proven experience working with Databricks, ideally within a large-scale data engineering environment.
- Strong programming and data manipulation skills using Python and SQL.
- Experience designing, developing, and maintaining large-scale data pipelines and data processing solutions.
- Exposure to structured products, trading, capital markets, or financial markets would be highly advantageous but is not essential.
- Language skills: English fluent
- Excellent communication and collaboration skills.
- Strong problem-solving mindset and analytical thinking.
- Ability to provide technical guidance and support to other developers.
Project details
Zurich, Switzerland
Work setting: Hybrid
Sector: Banking
ASAP
12 months +
100%
Ref.Nr.: BH 24628
- Start: flexible
- Location: Zurich, Switzerland, CH
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