Senior Data Engineer

Were Building the Future of Capital Markets;
enabling entrepreneurship, job creation, financial inclusion, and economic resilience
?As Asia's largest licensed digital securities exchange for alternative investments, Alta is at the forefront of building critical capital market infrastructure
We believe that access to capital markets are pivotal in all economies, we recognize that our role in building this critical infrastructure goes beyond facilitating trades; it paves the way for entrepreneurship, job creation, financial inclusion, and economic resilience, fostering a brighter future for emerging markets and economies

Empowering Private Markets: Through our Digital Exchange, we enable the tokenization and digital custody of alternative assets
This end-to-end solution simplifies and expedites the trading of smaller asset blocks, ultimately facilitating access and liquidity in private markets

Innovative Financial Ecosystem: Our journey has seen us transition from securities trading and distribution of comprehensive products, including equities, private credit, funds, and asset-backed securities (?ABS?) (representing Real World Assets ("RWA") like whiskies, wines, art, watches, and real estate) to include fund management and digital custody services

As the only integrated securities exchange, brokerage, and fund management group with the necessary regulatory licenses and a proven track record in Southeast Asia, we are actively exploring new channels and partnerships to extend our impact to entrepreneurs and investors globally

Established in 2016 and headquartered in Singapore, Alta operates offices globally
We welcome energetic and creative individuals to be part of this ambitious journey with us

Some Of The Key Responsibilities Include
Collaborate with Data Engineers, Data Analysts, Product Engineers, and business stakeholders to design, build, and operate scalable, discoverable data products and an analytics warehouse

Design, develop, and launch reliable, cost-efficient batch and streaming pipelines that are modular, testable, idempotent, and versioned

Own the full lifecycle of data solutions: requirements gathering, design docs, implementation, testing, deployment, observability, documentation, and ongoing operations

Create reusable, well-modeled datasets and feature/serving tables; establish and enforce data modeling and naming standards

Implement robust data quality practices, lineage, and data contracts to protect downstream consumers

Build and maintain orchestration and CI/CD for data (Airflow/Cloud Composer, Terraform, Git-based workflows, automated testing)

Write clean, well-documented code; lead and participate in cross-team code reviews; mentor peers and set engineering standards

Plan and deliver roadmaps; proactively communicate risks and status; ensure timely, incremental delivery

Define and operate on-call, incident response, and reliability practices; measure and improve availability with SLIs/SLOs

Evaluate and introduce new tooling and best practices; drive continuous improvement in our stack and engineering culture

Work with third-party vendors and partners to exchange data securely and reliably: define schemas and contracts, establish integrations (APIs, SFTP, webhooks, managed file transfers, SaaS connectors), manage credentials and access, and monitor delivery and data quality

About You
Minimum 5 years of professional data engineering experience, including designing and operating production-grade data platforms

Expert SQL and strong Python; deep experience with ETL/ELT patterns and pipeline frameworks

Proven experience with Airflow and dbt; hands-on with Terraform and Git-based CI/CD

Strong data modeling and warehousing expertise
Familiarity with streaming concepts (e
g
, Pub/Sub, Kafka) is a plus

Practical experience on GCP (BigQuery, Cloud Storage, Pub/Sub, IAM) and/or AWS with Redshift; ability to reason about cost/performance trade-offs

Solid understanding of security, privacy, and governance: RBAC/IAM, encryption at rest/in transit, secrets management, PII handling, and familiarity with PDPA/GDPR

Knowledge of APIs and analytical databases

Hands-on experience in batch/real-time data integration and processing

Strong communication and stakeholder management skills; able to translate business requirements into scalable technical designs

Bachelors or Masters in Computer Science, Engineering, or equivalent practical experience

Some nice-to-haves!
A general understanding of venture financing and investments, especially in the private capital market and/or alternative assets space

Ability to work with basic financial terms
An appreciation for experimentation and designing systems/processes that accommodate business and technical agility
Working experience in both startups and/or corporate environments (were a bit of both!)
Love for food and coffee! We talk about it a lot :)
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We are an equal-opportunity employer and are committed to providing a positive interview experience for every candidate
As a company, we value fairness, and transparency and build our teams around these values
Check out our careers page to get to know us better as you think about your next step with us!
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