Data Engineer, Tech Lead, Fintech

Posted 14 Days Ago
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Athens
Senior level
Artificial Intelligence • Fintech • Software • Financial Services
The Role
As a Technical Leader in Data Engineering, you will guide and manage two teams of Data Engineers, providing expertise in big data infrastructure and processes. You will oversee the design and maintenance of end-to-end data pipelines and ensure best practices in coding and data governance are followed.
Summary Generated by Built In

Description

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 growth plan and the Data Engineering team is a significant contributor to Optasia’s success and growth, achieved through data driven insights and decision making. We are currently leveraging and ingesting data from multiple sources into our large-scale big data clusters and develop and run multiple analytical pipelines, over a state-of-the art big data technology stack. 
We are looking for an experienced Technical Leader in the Data Engineering domain, to lead two teams of seven Data Engineers in total. As Technical Leader you will be able to enrich and further evolve the company’s big data infrastructure, and the highly scalable end-to-end batch and streaming data pipelines, contributing to Optasia’s success. 

What you will do

  • Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools, technologies, and methodologies. Stay updated with the latest advancements in data engineering and ensure the team follows best practices and industry standards. 
  • Extensive experience in data engineering, with a deep understanding of data processing frameworks, technologies, and tools such as Hadoop ecosystem, Hive, Scala, Spark, java, Python, scripting (Bash/Python), SQL, S3 etc.
  • Provide expert advice with respect to configuration management of the company’s big data infrastructure setup and services, limitations, constraints, tools, resources, etc. 
  • Understanding data governance frameworks, data privacy regulations (e.g., GDPR), and best practices for data protection. Implementing data governance policies and maintaining data integrity and security. 
  • 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. 
  • Align coding standards, conduct code reviews to ensure proper code quality level. 

What you will bring

  • Bachelor's or Master's degree in Computer Science or Informatics
  • 7+ years of experience in Data engineering
  • Working experience in software/data engineering and/or operations/DevOps/DataOps 
  • Working experience with the Apache Hadoop ecosystem (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):

  • Worked extensively in Hadoop / Spark / Spark streaming, HIVE 
  • Familiarity with infrastructure as code, e.g. Ansible 
  • Experience with data and ML flow engines and tools, e.g. Apache Airflow, Apache NiFi, Druid 
  • Passion for learning new technologies and eagerness to collaborate with other creative minds. 
  • Experience in working with secure code development guidelines and coding practices (i.e. OWASP, NIST)

Why you should apply
What we offer:
💸 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.

Top Skills

Java
Python
Scala
The Company
Dubai
281 Employees
On-site Workplace
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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