Data Engineer, Fintech

Reposted 5 Days Ago
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Athens, GRC
In-Office
Junior
Artificial Intelligence • Fintech • Software • Financial Services
The Role
As a Data Engineer, you will design and implement scalable data pipelines, improve existing systems, and work with various technologies in data processing and big data infrastructure.
Summary Generated by Built In

Optasia is a fully enabled B2B2X financial technology platform covering scoring, financial decisioning, disbursement and collection. We are committed to enabling financial inclusion for all. We are changing the world our way.

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.

We are looking for a Data Engineer to join our growing Data Engineering team. As part of our team, you will be able to design and implement highly scalable end-to-end batch and streaming data pipelines and contribute to Optasia’s success.

What you will do

  • Improving scalability, stability, accuracy, speed and efficiency of our existing Data systems
  • Design and develop end-to-end data processing pipelines
  • Be comfortable navigating the following technology stack: Scala, Spark, Python3, scripting (Bash/Python), Hadoop, SQL etc.
  • Design, build, test and deploy new libraries, frameworks or full systems while keeping to the highest standards of testing and code quality
  • 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

What you will bring

  • Bachelor's or Master's degree in Computer Science or Informatics
  • 2+ 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.

Your key attributes

  • Experience in fluid virtual infrastructures such as containers (e.g Dockers, Kubernetes)
  • Experience with data and ML flow engines and tools, e.g. Apache Airflow
  • Passion for learning new technologies and eagerness to collaborate with other creative minds.

Why you should apply
What we offer:
👟 Flexible hybrid 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

Optasia’s Values 🌟

#1 Drive to Thrive: Fully dedicated to evolving. We welcome all challenges and learning opportunities.
#2 Customer-First Mindset: We go above and beyond to meet our partners’ and clients’ expectations.
#3 Bridge the Gap: Knowledge is shared, information is exchanged and every opinion counts.
#4 Go-Getter Spirit: We are results oriented. We identify any shortcomings that hold us back and step up to do what’s needed.
#5 Together we will do it: We are committed to supporting one another and to understanding and respecting different perspectives, as we aim to reach our common goals.

Skills Required

  • Bachelor's or Master's degree in Computer Science or Informatics
  • 2+ 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 deployment, configuration, and maintenance of distributed systems and data/software engineering tools
Am I A Good Fit?
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The Company
Dubai
281 Employees
Year Founded: 2012

What We Do

We deliver Optasia, the AI Platform enabling financial access for the next billion customers. We are changing the world our way. Α versatile, data-driven B2B2X (business-to-business-to-customers and SMEs) financial technology platform for MNOs, mobile wallet operators and financial institutions, which provides them with accurate credit scoring for responsible financing decision-making. We support intelligent credit decisions, enable a broad range of financial services development and drive successful business models. All with ease, through our AI-led fully-automated decisioning algorithm, which allows us to efficiently make millions of decisions on financing, based on sophisticated data analysis. Thanks to our technology and network we provide powerful flywheel effects with repeatable and scalable growth levers, to help our partners grow and enable financial access to retail & SME customers across numerous markets. Operating since 2012 as Channel VAS and expanded in more than 35 countries in Africa, Middle East, Asia and LATAM with focus in emerging markets, Optasia Enabling credit decisions for an average of 116 million customers a month and had more than 980 million addressable subscribers in 2023, continuing to expand to new markets globally. Optasia has been chosen as an investment opportunity by top firms such as Abu Dhabi's Waha Capital in 2017, and Ethos, a leading South African investment company in late 2018. The company also obtained ISO 27001 Certification in late 2021. Founded as Channel VAS in 2012, we became Optasia in 2022, incorporating a brand identity that more broadly reflects our capabilities.

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