Associate Data Engineer supporting privacy engineering controls and executing privacy impact assessments in a financial services company. Collaborating across business units to ensure alignment with privacy regulations.
About the role
- Senior Data Engineer leading a team of Data Engineers at Optasia, a fintech company. Responsible for building data infrastructure and delivering scalable data solutions.
Responsibilities
- 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.
Requirements
- 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.
- Worked extensively in Hadoop / Spark / Spark Streaming / Hive (optional).
- Experience with data and ML flow engines and tools, e.g. Apache Airflow, Apache NiFi, Druid (optional).
- Hands-on exposure to modern data lake storage and table formats, e.g. Apache Iceberg, Apache Hudi (optional).
- Experience in working with secure code development guidelines and coding practices (i.e. OWASP, NIST) (optional).
Benefits
- 💸 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
- 🎌 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
Job title
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