Data Engineer II
Job Summary
Job Description
As a Data Engineer at Nium, you will design, build, and scale data infrastructure. You will collaborate with product managers, data analysts, and other engineering teams to develop innovative solutions that drive business insights and data-driven decision-making. You will be involved in building and increasing the adoption of machine learning solutions across different systems of payment processing. You will design and implement scalable data pipelines, collaborate with cross-functional teams, develop and maintain ETL processes, optimize data storage solutions, conduct data modeling, build and drive the adoption of machine learning capabilities, and implement data governance policies.
Must have:
- Design and implement scalable data pipelines.
- Collaborate with teams to identify data requirements.
- Develop and maintain ETL processes.
- Strong programming skills in SQL and Python.
- Expertise in big data technologies.
- Experience with SQL and NoSQL databases.
- Exceptional problem-solving skills.
Good to have:
- Experience in building machine learning models.
- Strong data analysis and statistics fundamentals.
- Excellent communication and collaboration abilities.
Perks:
- Competitive salaries and performance bonuses.
- Medical coverage and employee assistance program.
- Generous vacation programs.
- Flexible hybrid working environment.
- Role-specific training and internal workshops.
- Learning stipend.
- Company-wide social events and team bonding activities.
14 skills required
Job Details
Nium, Global Leader in Payments
Nium, the global leader in real-time, cross-border payments, was founded on the mission to deliver the global payments infrastructure of tomorrow, today. With the onset of the global economy, its payments infrastructure is shaping how banks, fintechs, and businesses everywhere collect, convert, and disburse funds instantly across borders.
Its payout network supports 100 currencies and spans 220+ markets, 100 of which in real-time. Funds can be disbursed to accounts, wallets, and cards and collected locally in 35 markets. Nium's growing card issuance business is already available in 34 countries. Nium holds regulatory licenses and authorizations in more than 40 countries, enabling seamless onboarding, rapid integration, and compliance – independent of geography. The company is co-headquartered in San Francisco and Singapore.
As a Data Engineer at Nium, you will play a crucial role in designing, building, and scaling our
cutting-edge data infrastructure while also applying your quantitative acumen in data modeling.
You will work closely with product managers, data analysts and other engineering teams to
develop innovative solutions that drive business insights and empower data-driven decision-
making. Your unique combination of technical and analytical skills will be invaluable as we
continue to expand our global reach and refine our services. You will also work to build and
increase adoption of machine learning solutions across different systems of payment processing
Key Responsibilities
- Design and implement scalable, maintainable, and high-performance data pipelines
- to process large volumes of structured and unstructured data.
- Collaborate with cross-functional teams to identify data requirements and translate them into optimal technical solutions.
- Develop and maintain ETL processes, ensuring data accuracy, completeness, and timeliness.
- Optimize and fine-tune data storage solutions, including databases, data lakes, and data warehouses, for efficient query performance.
- Conduct data modelling and generate insightful reports that inform stakeholders and drive business decisions.
- Build and drive the adoption of machine learning capabilities across the organization.
- Implement and enforce data governance policies and best practices to ensure data quality and security.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 1-3 years of experience in data engineering or a similar role.
- Strong programming skills in SQL and Python languages.
- Expertise in big data technologies such as Hadoop, Spark, Kafka, and Flink.
- Experience with SQL and NoSQL databases, such as PostgreSQL, MongoDB, and Cassandra.
- Experience in building machine learning models and their operations.
- Exceptional problem-solving and critical reasoning skills.
- Strong data analysis and statistics fundamentals.
- Excellent communication and collaboration abilities
What we offer at Nium
We Value Performance: Through competitive salaries, performance bonuses, sales commissions, equity for specific roles and recognition programs, we ensure that all our employees are well rewarded and incentivized for their hard work.
We Care: The wellness of Nium’ers is our #1 priority. We offer medical coverage along with 24/7 employee assistance program, generous vacation programs including our year-end shut down. We also provide a flexible hybrid working environment (3 days per week in the office).
We Upskill Ourselves: We are curious, and always want to learn more with a focus on upskilling ourselves. We provide role-specific training, internal workshops, and a learning stipend.
We Constantly Innovate: Since our inception, Nium has received constant recognition and awards for how we approach both our business and talent opportunities. Check out CNBC World’s Top Fintech Companies 2024.
We Celebrate Together: We recognize that work is also about creating great relationships with each other. We celebrate together with company-wide social events, team bonding activities, happy hours, team offsites, and much more!
We Thrive With Diversity: Nium is truly a global company, with more than 33 nationalities, based in 18+ countries and more than 10 office locations. As an equal opportunity employer, we are committed to providing a safe and welcoming environment for everyone.
For more detailed region-specific benefits: https://www.nium.com/careers#careers-perks
For more information visit www.nium.com
Depending on your location, certain laws may regulate the way Nium manages the data of candidates. By submitting your job application, you are agreeing and acknowledging that you have read and understand our Candidate Privacy Notice located at www.nium.com/privacy/candidate-privacy-notice.
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