ABout the ROle An exciting aspect of joining a newly created business at this stage is the opportunity to be in from the start and help define the culture.
There are things that we won't compromise on though:
- We are looking for exceptional talent with excellent communication skills
- Collaboration is key, both internally and with our clients. We believe we do our best work when we are together and working hand in hand with business users
- Curiosity is something we embrace and value highly
- We want people who are positive and passionate, have proven problem solving capabilities, can work quickly to find solutions to complex challenges and unlock big opportunities
- People need to be able to take ownership and be trusted to deliver, going the extra mile when needed
- We want people who are highly motivated and have a high desire to learn
Requirements - 3-6 years of experience as a data engineer or a related role
- Minimum 2.1 in degree obtained in Computer Science or a quantitative field, ideally from a top ranked University
- Expertise in designing and building data intensive applications and pipelines, with an open mindset on choice of tools
- Proficiency in one or more programming language (projects are often based around Python and SQL) with a focus on writing clean and performant code to handle large volumes of data
- Experience in some or all of:
- distributed computing for data intensive work such as Spark and Databricks
- cloud platforms including AWS, Azure and GCP
- orchestration tools like Airflow
- modern development practices including version control, CI/CD, and infrastructure as code
- Ability to test and troubleshoot data products with a track record of improving data reliability and quality
- Excellent communication skills and the ability to work effectively and openly within a team-based environment
- Self-motivated, detail-oriented, and eager to learn new technologies and methodologies
- Interest and experience in financial services, risk management, or consulting is a plus
Responsibilities We are seeking an experienced Data Engineer to join the Neptune North engineering team.
This role involves building and maintaining scalable data intensive systems, pipelines and platforms that support advanced analytics and modelling for our clients. You will work closely with data scientists, consultants, and clients to enable impactful decision-making by ensuring data is available, reliable, and of high-quality.
Key Expectations:
- Data Pipeline Development: Design and develop sophisticated data pipelines to import data from internal and external sources and seamlessly integrate into data platforms.
- Development & Testing: Contribute to existing and new data products to ensure they align with ever-changing business requirements. Test systems regularly to confirm their effectiveness and perform troubleshooting when necessary.
- Maintenance & Data Reliability: Ensure systems are well-maintained, enabling uninterrupted access to crucial data. Continuously verify data quality and integrity to support decision making.
- Continuous Improvement & Collaboration: Collaborate with internal and external stakeholders to streamline data accessibility and usability. Drive innovation by adopting advanced analytics technologies and methodologies.
Interview Process CV Review > Codility Exercise > Aptitude Test > Interviews
- Coding Challenge - We would like to get a better sense of your programming potential. You will be sent some questions hosted by Codility to be completed at a time that suits you.
- Aptitude Test - You will complete a speed-driven aptitude assessment.
- Management Interviews - You will meet with members of our Technology Management Team. These will be a combination of technical questions and an assessment of team and cultural fit.
- Team Technical Interview - As a final step you will meet 1-2 other team members for a technical interview.
Please email resumes to:
[email protected] with the Subject Line: "YOUR NAME" - Data Engineer
