DCG
Expert Data Engineer Python, Java, Scala, Apache Spark, PySpark, Spark SQL, Quantexa Warszawa, Łódź, Gdańsk, Gdynia
Expert data engineer designing and optimising large-scale data pipelines and AML detection/scoring logic for Capital Markets financial-crime use cases, using Python, Java, Scala, Apache Spark (PySpark, Spark SQL) and Quantexa on distributed on-premise clusters, with Bamboo/Jenkins CI/CD. Hired via DCG recruitment agency; based in Warsaw, Łódź, Gdańsk or Gdynia.
- Compensation
- Not disclosed
- Location
- Poland
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Strong programming skills in Python and Java
- Advanced experience with Apache Spark, PySpark, Spark SQL and SQL for large-scale distributed data processing
- Proven experience with distributed compute platforms and on-premise cluster environments
- Proficiency with CI/CD tools such as Bamboo/Jenkins and Bitbucket
- Experience working in Agile teams and independently in fast-paced, evolving environments
- Strong analytical and problem-solving skills with ability to adapt quickly
- Very good command of English, spoken and written
Nice to have
- Understanding of Capital Markets products, including FX, Equities, Derivatives and Bonds
- Previous experience in Financial Crime, AML or surveillance use cases
- Experience implementing rule-based detection systems, scorecards or alerting frameworks
- Experience delivering NFRs covering performance, scalability, observability, data quality, resiliency and security
- Experience with automation, including automated pipeline deployment, data validation, testing frameworks and workflow orchestration
- Experience integrating solutions with third-party systems, including case management systems
- Ability to collaborate effectively within cross-functional teams with a strong can-do attitude
Full description
As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:
Responsibilities:
- Design, implement and optimise data pipelines supporting end-to-end Capital Markets AML detection scenarios
- Implement detection logic, rule frameworks and scoring components for financial-crime use cases
- Ensure high-quality engineering across code, data pipelines and operational solutions
Requirements:
- Strong programming skills in Python and Java
- Advanced experience with Apache Spark, PySpark, Spark SQL and SQL for large-scale distributed data processing
- Proven experience with distributed compute platforms and on-premise cluster environments
- Proficiency with CI/CD tools such as Bamboo/Jenkins and Bitbucket
- Experience working in Agile teams and independently in fast-paced, evolving environments
- Strong analytical and problem-solving skills with the ability to adapt quickly
- Very good command of English, both spoken and written
Nice to have:
- Understanding of Capital Markets products, including FX, Equities, Derivatives and Bonds
- Previous experience in Financial Crime, AML or surveillance use cases
- Experience implementing rule-based detection systems, scorecards or alerting frameworks
- Experience delivering NFRs covering performance, scalability, observability, data quality, resiliency and security
- Experience with automation, including automated pipeline deployment, data validation, testing frameworks and workflow orchestration
- Experience integrating solutions with third-party systems, including case management systems
- Ability to collaborate effectively within cross-functional teams with a strong can-do attitude
Offer:
- Private medical care
- Co-financing for the sports card
- Constant support of dedicated consultant
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