DataOps Engineer, Madrid
Madrid
Adyen
End-to-end payments, data, and financial management in one solution. Meet the financial technology platform that helps you realize your ambitions faster.This is Adyen
Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.
For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.
DataOps Engineer
Our on premise platforms are growing at a fast pace. You will operate as part of a group of data engineers, developers and data scientists, and work together on the core data infrastructure on a global scale. You will be challenged with the fast growth needs of Adyen, by the different teams across the company and to bring innovative solutions everyday. You’ll be asked to improve the current stack and support several highly skilled teams of data scientists and data engineers. In this role, you will:
- Create, maintain and iterate on the current data infrastructure
- Anticipate on growth and look for structural changes required in the big-data offering at Adyen
- Work closely with users of the data infrastructure and arrive at pragmatic solutions, in line with standards used throughout the infrastructure group
Who you are
- Background: you have a solid background with designing, scaling and maintaining data infrastructure solutions, learn on the fly, diagnose problems and be used to dealing with a 24/7 environment.
- Technology: you must be proficient and have real world and hands-on experience with the following technologies: Hadoop ecosystem (Hive, Yarn, HDFS) with Spark, securing cluster with Ranger and Kerberos, along with automation tools such as Ansible/Puppet
- Experience: building, testing and maintaining data infrastructure for enterprise level data lake solutions in a Linux based production environment
- Knowledge: solid understanding of data lake solutions and related infrastructure components
- Mentality: you are a team player who is open to feedback and have the mind-set to automate and avoid repetitive tasks
Our Diversity, Equity and Inclusion commitments
Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.
Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!
What’s next?
Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.
If you still feel this is not the right role for you, please check our data engineer position or Analytics Engineer role. How about sharing it with a friend or colleague who might be interested?
Please, note that this role is a full-time position in Madrid. It will require a relocation in case you live outside of Spain.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Ansible DataOps Hadoop HDFS Linux Spark Testing
Perks/benefits: Flex vacation Relocation support
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Senior Data Architect jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs