Senior Data Engineer, Fintech

Optasia Group; Kentucky; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Extra day off on your birthday

Performance-based bonus scheme

Comprehensive private healthcare insurance

On-site yoga classes

Varied meal options in open space restaurant

Job summary

A leading financial technology firm is seeking an experienced Senior Data Engineer – Team Leader to lead a team of Data Engineers. This role involves designing and optimizing data analytical pipelines, providing technical expertise, and collaborating with cross-functional teams. The ideal candidate will have at least 3 years in Data Engineering, expertise in the Apache Hadoop ecosystem, and a strong educational background in Computer Science or Informatics. This position offers a competitive remuneration package and various perks that promote well-being and professional growth.

Qualifications

• 3+ years of experience in Data Engineering.
• Strong hands-on expertise with the Apache Hadoop ecosystem.
• System administration skills in Linux.
• Linux system administration skills.
• Experience with CI/CD orchestration.

Responsibilities

• Lead and mentor a team of Data Engineers.
• Design, build, and optimize data analytical pipelines.
• Drive best practices in code quality and data governance.
• Ensure scalable, high-quality data processing and governance.

Skills

Apache Hadoop ecosystem

Scala

Java

Python

SQL

Education

Bachelor’s or Master’s degree in Computer Science or Informatics

Tools

HDFS

Hive

Spark

CI/CD tools

Airflow

Job 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’s growth plan, and the Data Engineering team is a significant contributor to our success, achieved through data-driven decision making and risk management. We leverage and ingest data from multiple sources into our large-scale data lakehouses, where data are processed in analytical pipelines. We develop and run the pipelines in a state-of-the-art open-source big data technology stack.
We are looking for an experienced Senior Data Engineer – Team Leader to lead and inspire a team of two to three Data Engineers. In this role, you will combine hands-on expertise in building data infrastructure and pipelines with leadership responsibilities, enabling the team to deliver high-quality, scalable, and reliable data solutions that contribute to Optasia’s success.

What you will do

• Lead, mentor, and support a team of Data Engineers, fostering collaboration, technical excellence, and professional growth.
• Provide technical expertise and direction in data engineering, guiding the team to deliver high quality scalable data analytical pipelines.
• Support the testing, selection and deployment of data engineering tools, technologies, and methodologies.
• Design, build, and optimize end-to-end batch and streaming data analytical pipelines.
• Develop, maintain, and evolve the company’s big data infrastructure and core libraries for large-scale ingestion and processing.
• Work closely with Solution Architects, Data Assurance Engineers, ML Engineers, and System Administrators for the design, delivery, and support of end-to-end data workflows.
• Drive best practices in code quality, testing, CI/CD, and data governance, ensuring scalability, performance, and compliance with data protection regulations (e.g., GDPR).
• Conduct code reviews, align coding standards, and oversee configuration management of the big data infrastructure.

What you will bring

• Bachelor’s or Master’s degree in Computer Science or Informatics.
• 3+ years of experience in Data Engineering.
• Strong hands-on expertise with the Apache Hadoop ecosystem (HDFS, Hive, Spark, YARN).
• Proficiency in Scala, Java, Python, SQL, scripting (Bash/Python).
• Experience with relational and NoSQL technologies.
• System administration skills in Linux.
• Practical experience with deployment, configuration, and maintenance of distributed systems and data/software engineering tools.
• Experience with CI/CD orchestration.

Optional requirements (will be considered a plus):

• Worked extensively in Hadoop / Spark / Spark Streaming / Hive.
• Experience with data and ML flow engines and tools, e.g. Apache Airflow, Apache NiFi, Druid.
• Hands-on exposure to modern data lake storage and table formats, e.g. Apache Iceberg, Apache Hudi.
• Experience in working with secure code development guidelines and coding practices (i.e. OWASP, NIST).
• Passion for learning new technologies and eagerness to collaborate with other creative minds.

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.