Senior Data Engineer

Through proprietary software and AI, along with a focus on customer delight, Sleek makes the back-office easy for micro SMEs.

We give Entrepreneurs time back to focus on what they love doing - growing their business and being with customers. With a surging number of Entrepreneurs globally, we are innovating in a highly lucrative space.

We operate 3 business segments:

1. Corporate Secretary: Automating the company incorporation, secretarial, filing, Nominee Director, mailroom and immigration processes via custom online robots and Sleek Sign. We are the market leaders in Singapore with ~5% market share of all new business incorporations.
2. Accounting & Bookkeeping: Redefining what it means to do Accounting, Bookkeeping, Tax and Payroll thanks to our proprietary Sleek Books ledger, AI tools and exceptional customer service.
3. FinTech payments: Overcoming a key challenge for Entrepreneurs by offering digital banking services to new businesses.

Sleek launched in 2017 and now has around 15,000 customers across our offices in Singapore, Hong Kong, Australia and the UK. We have around 450 staff with an intact startup mindset.

We have achieved >70% compound annual growth in Revenue over the last 5 years and as a result have been recognized by The Financial Times, The Straits Times, Forbes and LinkedIn as one of the fastest growing companies in Asia. Backed by world-class investors, we are on track to be one of the few cash flow positive, tech-enabled unicorns based out of Singapore.

About the Role

We are looking for an experienced Senior Data Engineer to join our growing team. As a key member of our data team, you will design, build, and maintain scalable data pipelines and infrastructure to enable data-driven decision-making across the organization. This role is ideal for a proactive, detail-oriented individual passionate about optimizing and leveraging data for impactful business outcomes.

Key Responsibilities

• Data Pipeline Development: Design, implement, and optimize robust, scalable ETL/ELT pipelines to process large volumes of structured and unstructured data.
• Data Modeling: Develop and maintain conceptual, logical, and physical data models to support analytics and reporting requirements.
• Infrastructure Management: Architect, deploy, and maintain cloud-based data platforms (e.g., AWS, GCP).
• Collaboration: Work closely with data analysts, business owners, and stakeholders to understand data requirements and deliver reliable solutions.
• Data Governance: Ensure data quality, consistency, and security through robust validation and monitoring frameworks.
• Performance Optimization: Monitor, troubleshoot, and optimize the performance of data systems and pipelines.
• Innovation: Stay up to date with the latest industry trends and emerging technologies to continuously improve data engineering practices.

Skills & Qualifications

• Experience: 5+ years in data engineering, software engineering, or a related field.
• Technical Proficiency:
• Proficiency in working with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Familiarity with big data frameworks like Hadoop, Hive, Spark, BigQuery, etc.
• Strong expertise in programming languages such as Python, NodeJS, etc.
• Cloud Platforms: Advanced knowledge of cloud platforms (AWS, or GCP) and their associated data services.
• Data Warehousing: Expertise in modern data warehouses like BigQuery, Snowflake or Redshift, etc.
• Tools & Frameworks: Expertise in version control systems (e.g., Git) and CI/CD pipelines.
• Soft Skills: Excellent problem-solving abilities, attention to detail, and strong communication skills.

Preferred Qualifications

• Degree in Computer Science, Engineering, or a related field.
• Experience with real-time data streaming technologies (e.g., Kafka, Kinesis).
• Familiarity with machine learning pipelines and tools.
• Knowledge of data security best practices and regulatory compliance.

The interview process

The successful candidate will participate in the below interview stages (note that the order might be different to what you read below).

We anticipate the process to last no more than 3 weeks from start to finish. Whether the interviews are held over video call or in person will depend on your location and the role.

Case study: A ~60 minute chat with Hiring Manager, where he will give you some real-life challenges that this role faces, and will ask for your approach to solving them.

Career deep dive: A ~60 minute chat with the Hiring Manager. He’ll discuss your last 1-2 roles to understand your experience in more detail.

Behavioural fit assessment: A ~60 minute chat with the Head of HR or CFO, where he will dive into some of your recent work situations to understand how you think and work.

Requirement for background screening: Please be aware that Sleek is a regulated entity and as such is required to perform different levels of background checks on staff depending on their role.

This may include using external vendors to verify the below:

• Your education.
• Any criminal history.
• Any political exposure.
• Any bankruptcy or adverse credit history.

We will ask for your consent before conducting these checks. Depending on your role at Sleek, an adverse result on one of these checks may prohibit you from passing probation.

By submitting a job application, you confirm that you have read and agree to our Data Privacy Statement for Candidates, found at sleek.com.