Senior Data Engineer @ HSBC Technology Poland
2 days ago
What you need to have to succeed in this role
- Excellent experience in the Data Engineering Lifecycle. You will have created data pipelines which take data through all layers from generation, ingestion, transformation and serving. Senior stakeholder management skills.
- Experience of modern Software Engineering principles and experience of creating well tested and clean applications.
- Strong experience in Hadoop on premises distribution especially Cloudera.
- Strong experience in one or more cloud service provider. AWS, Azure or GCP (GCP Experience is preferable.)
- Extensive experience using Python, Pyspark and the Python Ecosystem with good exposure to python libraries.
- Strong experience in SQL and building Data Analytics.
- Proven experience building robust production data pipelines using Airflow preferred.
Nice to have
- Experience developing in other languages e.g. Scala/Java.
Some careers shine brighter than others.
If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
Your career opportunity
Our technology team builds innovative digital solutions rapidly and at scale to deliver the next generation of banking services for our customers around the world.
You’ll be helping us be digital-first when developing new products and services, as well as enhancing existing ones by providing software development and support to each of our Global Businesses and Global Functions.
Using best-in-class technologies, you'll deliver end-to-end execution of all technology services consumed across the HSBC landscape, including change programmes and applications in production.
,[Work on engaging projects with one of the largest banks in the world, on projects that will transform the financial services industry., Develop new and enhance existing financial and data solutions, having the opportunity to work on exciting greenfield projects as well as on established Tier1 bank applications adopted by millions of users., Work on automating and optimising data engineering processes, develop robust and fault tolerant data solutions both on cloud and on-premise deployments., You’ll be involved in digital and data transformation processes through a continuous delivery model., Learn and work with specialised data and cloud technologies to widen the skill set., Have an opportunity to learn and work with specialised data and cloud technologies to widen the skill set.] Requirements: Data engineering, Data pipelines, Stakeholder management, Hadoop, Cloudera, Cloud, AWS, Azure, GCP, Python, SQL, Data analytics, Airflow, Scala, Java 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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