Informacje o stanowisku
Risk & Compliance technology design and deploy cutting edge technology to defend the bank and its customers from Sanctions Risk, Financial Crime Risk, Identity Threat, Unauthorised Trading and Market Abuse & Regulatory Sanctions, as well as supporting Enterprise Risk Management. We provide the systems that enable our global businesses to grow through data-driven, pro-active risk management.
We are seeking Data Engineer who will be understanding data structures, end to end data flow and working on delivering data pipelines within Risk & Compliance area. The Data Engineer works closely with Business Stakeholders to understand their requirements & propose solution for their problems. In this role you will collaborate with engineering teams from Poland, India & UK, supporting project delivery activities but also BAU post system Go Live.
WHAT WE OFFER
- Competitive salary
- Annual performance-based bonus
- Additional bonuses for recognition awards
- Multisport card
- Private medical care
- Life insurance
- One-time reimbursement of home office set-up (up to 800 PLN).
- Corporate parties & events
- CSR initiatives
- Nursery discounts
- Financial support with trainings and education
- Social fund
- Flexible working hours
- Free parking
What you need to have to succeed in this role
- 5+ years of experience in developing data propagation pipeline with Python spark, conversion of SQLs into spark scripts.
- Good understanding on SQL, ETL concepts, writing complex queries using multiple joins, unions etc.
- Be able to breakdown complex SQL logic and translate it for implementation in Pyspark.
- Good development experience in PySpark
- Strong analytical skills and proficient in creating efficient data pipelines is key
- Understanding of configuration management, orchestration, containerization, and deployment automation. Deployment automation of cloud projects (GCP preferred)
- Good experience in GCP Data Proc, Big query, GKE will be an advantage
Risk & Compliance technology design and deploy cutting edge technology to defend the bank and its customers from Sanctions Risk, Financial Crime Risk, Identity Threat, Unauthorised Trading and Market Abuse & Regulatory Sanctions, as well as supporting Enterprise Risk Management. We provide the systems that enable our global businesses to grow through data-driven, pro-active risk management.
We are seeking Data Engineer who will be understanding data structures, end to end data flow and working on delivering data pipelines within Risk & Compliance area. The Data Engineer works closely with Business Stakeholders to understand their requirements & propose solution for their problems. In this role you will collaborate with engineering teams from Poland, India & UK, supporting project delivery activities but also BAU post system Go Live.
WHAT WE OFFER
- Competitive salary
- Annual performance-based bonus
- Additional bonuses for recognition awards
- Multisport card
- Private medical care
- Life insurance
- One-time reimbursement of home office set-up (up to 800 PLN).
- Corporate parties & events
- CSR initiatives
- Nursery discounts
- Financial support with trainings and education
- Social fund
- Flexible working hours
- Free parking
,[Work closely with Business & IT partners to understand data requirements., Together with Architecture & Engineering Team propose technical solution., Participate in data pipeline delivery, testing & validation up to production., Support and maintain solution after Go Live. Requirements: Python, Spark, SQL, ETL, PySpark, Analytical skills, Data pipelines, Cloud, GCP Additionally: Training budget, Private healthcare, Flat structure, International projects, Multisport card, Monthly remote work subsidy, Psychological support, Conferences, PPK option, Annual performance based bonus, Integration budget, International environment, Small teams, Employee referral bonus, Mentoring, Workstation reimbursement, Company share purchase plan, Childcare support programme, Bike parking, Playroom, Shower, Canteen, Free coffee, Free beverages, Free parking, In-house trainings, In-house hack days, No dress code, Modern office, Knowledge sharing, Garden, Massage chairs, Kitchen.
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