Data Engineer
Madrid
Applications have closed
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What We'll Bring:
TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance.What You'll Bring:
Data Engineering & Analytics practice enables Data Analytics driven culture across the organization. It’s a fast-growing practice which has functions like Data Engineering, Data Architecture, Data Visualization, Data COE & ML Engineering. This team works across all phases of data lifecycle.
About the role:
We’re looking for a Data Engineer to join our growing Data Engineering and Analytics Practice. You will be based in our offices in Madrid and working part-time remotely as part of our ‘flex together’ approach. We are in a cloud transformation process, and we need you! This exciting role will offer a host of development opportunities as part of a growing global business.
Day to Day You’ll Be:
Passion for technology in the field of data engineering and analytics
Design, build, test and deploy cutting edge big data solutions at scale
Extract, clean, transform, and analyze vast amounts of raw data from various Data Sources
Build data pipelines and API integrations with various internal systems
Improving and maintaining our data ware house.
Experience on data migration from our local DB to cloud (GCP).
Work across all stages of data Lifecycle
Implement best practices across all data analytics processes
Estimate effort, identify risks and plan execution
Proactively monitor, identify, and escalate issues or root causes of systemic issues
Enable data scientists, business and product partners to fully leverage our platform
Data governance best practices
International collaboration, mainly with UK and US.
Good analytical & problem-solving skills
Good communication and presentation skills
Good English communication skills
Impact You'll Make:
Essential Skills & Experience:
Extensive experience in Big Data technologies such as Hive, Spark and Hadoop.
Big Data Technologies – SQL, Python, Oracle DB, PySpark, Pandas, Jupyter , Airflow, Talend, Jenkins
Experience in Google Cloud Platform: dataproc, bigquery, cloud storage, dataflow
Experience in Python programming language
Experience in Oracle DB experience
Experience in cloud database migration
R-studio experience is an advantage
Graph database experience is an advantage
What’s In It For you?
At TransUnion you will be joining a friendly, forward thinking global business.
We’re happy to talk flexible working. We operate a hybrid model allowing you to explore the balance of work and hours from home and/or from our Madrid.
TransUnion – a place to grow:
If there’s something on the list of essential / desirable skills that you can’t quite tick off, don’t let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful.
We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together.
Interview & Hiring Process
Most of our recruitment processes are virtual, so you’ll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform of this.
Additional support:
At TransUnion, we’re committed to fostering an inclusive and diverse workplace where all individual’s talents and perspectives are valued. When you apply for a position with us, you’re not just joining a team, you’re becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting ukrecruitment@transunion.com
#LI-Hybrid
TransUnion Job Title
Acquisition Exempt, Acquired Associate* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs Architecture Big Data BigQuery Data Analytics Dataflow Data governance Data pipelines Dataproc Data visualization Engineering Finance GCP Google Cloud Hadoop Jupyter Machine Learning Oracle Pandas Pipelines Privacy PySpark Python R Spark SQL Talend
Perks/benefits: Career development Flex hours Flex vacation Team events
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