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:
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Corporate Secretary: Automating the company incorporation, secretarial, filing, Nominee Director, mailroom and immigration processes via custom online robots and SleekSign. We are the market leaders in Singapore with ~5% market share of all new business incorporations
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Accounting & Bookkeeping: Redefining what it means to do Accounting, Bookkeeping, Tax and Payroll thanks to our proprietary SleekBooks ledger, AI tools and exceptional customer service
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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 500 staff with an intact startup mindset.
We have recently raised Series B financing off the back of >70% compound annual growth in Revenue over the last 5 years. Sleek has been recognised 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 Asia Pacific.
Requirements
We are looking for a skilled and passionate Data Engineer to join our growing Data Platform team.
Mission:
You will design, build, and maintain robust data pipelines on databricks and AWS infrastructure that power analytics and reporting capabilities across the organization.
Key responsibilities:
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Design and implement scalable ETL/ELT pipelines using both batch and streaming patterns
– Build and maintain ingestion workflows from diverse sources (databases, APIs, event streams)
–Implement Change Data Capture (CDC), full-load, and incremental ingestion strategies.
- Develop and manage data workflows using Apache Airflow for orchestration.
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Configure and manage data ingestion connectors using Airbyte.
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Work with Databricks to build and optimize data engineering workloads on the Lakehouse
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platform.
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Write and optimize complex SQL queries.
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Solid hands-on experience on dbt with databricks, build modular, testable dbt models for data transformation
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Develop and maintain data models in staging, intermediate, and mart layers following data warehousing best practices
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Working knowledge of AWS services like S3, Lambda, EC2, IAM, etc.
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Containerize data services and applications using Docker & EKS.
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Ensure data quality, observability, and reliability across the data platform.
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Document pipelines, models, and data dictionaries to maintain platform knowledge.
Required Skills & Experience:
Core Data Engineering:
- 3+ years of professional experience in data engineering.
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Strong understanding of data platform architecture: Lakehouse, Data Warehouse, Data Lake patterns.
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Hands-on experience with ETL/ELT design patterns including batch processing and stream processing.
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Familiarity with ingestion patterns: full load, incremental, CDC, event-driven5+ years of hands-on experience as a Database Administrator in production environments.
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Strong understanding of database internals — storage engines, transactions, isolation levels, locking, MVCC, query planners.
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Proven experience supporting mission-critical OLTP workloads with high availability requirements.
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Solid scripting skills in Bash and/or Python for automation.
Databricks:
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Experience building data pipelines on Databricks (Delta Live Tables, Jobs, Notebooks).
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Proficiency with PySpark or Spark SQL for large-scale data processing.
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Familiarity with Delta Lake concepts: ACID transactions, time travel, schema evolution.
Orchestration & Ingestion:
- Proficiency with Apache Airflow — authoring, scheduling, and monitoring DAGs.
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Experience with Airbyte for managing source-to-destination data connectors.
MongoDB
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Hands-on experience administering MongoDB (self-managed and/or Atlas).
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Replica set configuration, sharding, indexing strategies, and aggregation pipeline tuning.
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Backup, restore, and disaster recovery using mongodump/mongorestore or Ops Manager.
SQL & dbt:
- Strong SQL skills — query optimization, window functions, CTEs, and complex joins.
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Experience with dbt (data build tool) for transformation, testing, and documentation.
- -Model layering: staging intermediate marts
- -Writing schema tests, source freshness checks, and macros
Cloud & Infrastructure
- Practical experience with AWS services (S3, Lambda, IAM, CloudWatch, etc).
Nice to have:
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Experience with Docker & Kubernetes (EKS) for deploying and scaling data services – Experience running Airflow & Airbyte on Kubernetes
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Experience with data quality frameworks (Great Expectations, Soda.
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Infrastructure as Code experience (Terraform).
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Exposure to data governance tools or data cataloging (Databricks Catalog).
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Familiarity with CI/CD pipelines for data engineering (GitHub Actions).
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Experience with Python for pipeline scripting and automation.
Behavioural fit is also important at Sleek, and we will be looking for candidates that have a proven track record of embodying the below attributes in their recent roles:
Ownership: This shows reliability and helps build trust within the team. We move fast and need to know that everyone will see things through to completion and proactively help to get things back on track when challenges arise. Accountability is really important to us.
Humility: There is so much we don’t know. Humility allows for open-mindedness to feedback and a willingness to learn from others. It paves the way for collaboration and creates a positive work environment. It is a key ingredient of self awareness and emotional intelligence.
Structured Thinking: Our business is complex with many layers (many services, many countries, many cultures). Regardless of whether you’re more analytical or creative in nature, being able to show sound judgement is important to us. It ensures solutions are pragmatic and balance the needs of the organisation, team and customers.
Data driven: We are a data rich business with ~15,000 small customers. Each decision we make can impact many more people than we realise - so it’s critical that we use sound data to support our strategies and review the success of our initiatives.
Can have tough conversations in a positive way: It’s not a matter of if, but when difficult interpersonal situations arise. Disagreement, conflict and disappointment are a given in a fast moving business where people care about their work. People that proactively have tough conversations with kindness build empathy, trust and great working relationships.
The interview process
The successful candidate will participate in the below interview stages. 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.
Introductory Video Interview and TA Discovery Call
Our initial selection stage begins with an on-demand video interview. Once your video submission has been reviewed by our team, we will reach out to schedule a follow-up discovery call with a member of the Talent Acquisition team
Technical round
A ~60 minute technical interview with one of the Senior members of Technology team.
Behavioural fit assessment
A ~60 minute interview and live case study with our Chief Technology Officer
Offer + reference interviews
We’ll make a non-binding offer verbally or over email, followed by a couple of short phone or video calls with references that you provide to us.
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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:
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Your education
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Any criminal history
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Any political exposure
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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.
Benefits
Some other great things about working at Sleek…
Humility and kindness: Humility is a core attribute we hire for, which means we have a culture of not taking ourselves too seriously and being able to laugh. Kindness is also incredibly important. We are committed to creating and nurturing a diverse and inclusive environment.
Flexibility: You’ll be able to work from home. If you need to start early or start late to cater to your family or other needs, we don’t mind, so long as you get your work done and proactively communicate. You can also work fully remote from anywhere in the world for 1 month each year
Financial benefits: We pay competitive market salaries and provide staff with generous paid time off and holiday schedules. Additionally, you’ll be able to access our flexi benefits scheme for home office equipment or health and fitness expenditure. Certain staff at Sleek are also eligible for our employee share ownership plan and can share in the upside of our stellar growth trajectory as we work toward listing on a prominent stock exchange in the Asia Pacific region.
Personal growth: You’ll get a lot of responsibility and autonomy at Sleek - we move at a fast pace so you’ll be making decisions, making mistakes and learning. There’s also a range of internal and external facing training programmes we run. We’re also at the forefront of utilising AI in our space and are developing a regional centre of AI excellence. It is our intention that if you leave Sleek, you leave as a more well-rounded person and professional.
Sleek is also a proudly certified B Corp. Since we started our journey in 2017, we’ve been committed to building Sleek as a force for good. In just over 5 years, we’ve joined a community of industry leaders like Patagonia, Ben & Jerry's, and P&G who are building an inclusive, equitable, and a regenerative economy.
