Senior Cloud Data Engineer
Madrid, ES
SIX Group
Technology for the financial center – efficient, secure, stable. We ensure the flow of information and money between banks, merchants, investors and service providers worldwide.
BME - Bolsas y Mercados Españoles - drives the transformation of financial markets and belongs to SIX, the third largest exchange group in Europe.
What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.
Senior Cloud Data Engineer
Madrid | working from home up to 60% | Reference 6861
We are looking for an engineer for the Data Science Platform (DSP) team within the central IT application and platform department of SIX. In this role, you will be a part of a cross-functional team and responsible for designing, implementing, and consulting on public cloud data science platform services.
What You Will Do
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be a part of an international team that designs and develops a mature Azure cloud based SIX data science platform.
- manage lifecycle of the DSP which is offered as a service towards internal stakeholders by maintaining and developing its infrastructure and supporting features from ETL, machine learning, AI and reporting
- act as a SIX internal DSP data engineer to offer consultancy to discover, onboard and deliver new use cases
- closely collaborate with key stakeholders from business data science teams and other IT data engineering teams to enable them on the DSP
What You Bring
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minimum 5 years of practical experience with building data pipelines and data infrastructure on public cloud (preferably Microsoft Azure and/or Amazon Web Services, Google Cloud Platform)
- multiple years of experience with Spark based data processing environments (preferably Databricks)
- strong software development skills with proficiency in Python and SQL (Java and Bash are a plus) and familiarity with Linux systems
- competence in CICD and automation to build system critical data platform infrastructure and applications on public cloud
- hands-on experience large scale Infrastructure as Code (IaC) deployments, preferably using Terraform/ Open Tofu and basic knowledge of cloud foundation services (networking, security, storage and IAM)
- strong customer focus, open-minded, proactive attitude, and experience in working in highly regulated environments. Excellent written and verbal communication skills in English
If you have any questions, please call German Lopez Arranz at +34 91 709 5771.
For this vacancy we only accept direct applications in English.
Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Consulting Databricks Data pipelines Engineering ETL Finance GCP Google Cloud Java Linux Machine Learning Pipelines Python Security Spark SQL Terraform
Perks/benefits: Career development
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