Senior Big Data Engineer, Fintech
Athens, Attica, Greece
Applications have closed
Optasia is a fully-integrated B2B2X financial technology platform covering scoring, financial decisioning, disbursement & collection. We provide a versatile AI Platform powering financial inclusion, delivering responsible financing decision-making and driving a superior business model & strong customer experience with presence in 30 Countries anchored by 7 Regional Offices.
We are seeking for enthusiastic professionals, with energy, who are results driven and have can-do attitude, who want to be part of a team of likeminded individuals who are delivering solutions in an innovative and exciting environment.
Data is at the core of Optasia's growth plan and the Data Engineering team is a significant contributor to data-driven automated decision making. We are currently leveraging and ingesting data from multiple sources into our large-scale big data clusters and we are in the process of optimizing and modernizing our processes and infrastructure as the company scales.
As part of the Data Engineering team in Optasia, you will be able to design and implement highly scalable end-to-end batch and streaming data pipelines and contribute to company’s success.
What you will do
- Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing Data systems
- Be comfortable navigating the following technology stack: Scala, Spark, java, Golang, Python3, scripting (Bash/Python), Hadoop, SQL, S3 etc
- Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality
- Work closely with experienced Data Engineers, Solution Architects, ML engineers and System Administrators for the design, delivery and support of the company’s end-to-end data processing workflows
- Develop, maintain and optimize our core libraries for batch processing and ingestion of large volumes of data to the big data infrastructure
- Build and maintain CI/CD orchestration
- Design and develop end-to-end data processing pipelines
What you will bring
- Bachelor's or Master's degree in Computer Science or Informatics
- 5+ years of experience in Data engineering
- Working experience in software/data engineering and/or operations/DevOps/DataOps
- Working experience with the Apache Hadoop ecosystem (YARN, HDFS, HBase, Spark)
- Working experience with relational and NoSQL technologies
- Systems administration skills in Linux
- Experience with the deployment, configuration and maintenance of distributed systems and data/software engineering tools
Optional requirements (will be considered a plus):
- Familiarity with infrastructure as code, e.g. Ansible
- Good understanding of Hadoop ecosystems
- Experience with data and ML flow engines and tools, e.g. Apache Airflow, Apache NiFi
- Passion for learning new technologies and eagerness to collaborate with other creative minds.
Why you should apply
What we offer:
👟 Flexible remote working
💸 Competitive remuneration package
🏝 Extra day off on your birthday
💰 Performance-based bonus scheme
👩🏽⚕️ Comprehensive private healthcare insurance
📲 💻 All the tech gear you need to work smart
Optasia’s Perks:
🎌 Be a part of a multicultural working environment
🎯 Meet a very unique and promising business and industry
🌌 🌠 Gain insights for tomorrow market’s foreground
🎓 A solid career path within our working family is ready for you
📚 Continuous training and access to online training platforms
🥳 CSR activities and festive events within any possible occasion
🍜 Enjoy comfortable open space restaurant with varied meal options every day
🎾 🧘Wellbeing activities access such as free on-site yoga classes, plus available squash court on our premises
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Ansible Big Data CI/CD Computer Science Data pipelines DevOps Distributed Systems Engineering FinTech Golang Hadoop HBase HDFS Linux Machine Learning NoSQL Pipelines Python Scala Spark SQL Streaming Testing
Perks/benefits: Career development Flex hours Salary bonus Team events Yoga
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