Senior Data Engineer - Remote

About Sleek

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:

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

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

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 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 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.

Mission:

1. Work closely with cross-functional teams to translate our business vision into impactful data solutions.

2. Drive the alignment of data architecture requirements with strategic goals, ensuring each solution not only meets analytical needs but also advances our core objectives.

3, Be pivotal in bridging the gap between business insights and technical execution by tackling complex challenges in data integration, modeling, and security, and by setting the stage for exceptional data performance and insights.

4. Shape the data roadmap, influence design decisions, and empower our team to deliver innovative, scalable, high-quality data solutions every day.

Outcomes:

1. Achieve and maintain a data accuracy rate of at least 99% for all business-critical dashboards by start of day (accounting for corrections and job failures), with a 24-business hour detection of error and 5-day correction SLA

2. 95% of data on dashboards originates from technical data pipelines to mitigate data drift

3. Set up strategic dashboards based on Business Needs which are robust, scalable, easy and quick to operate and maintain

4. Reduce costs of data warehousing and pipelines by 30%, then maintaining costs as data needs grow

5. Achieve 50 eNPS on data services (e.g. dashboards) from key business stakeholders

• 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, including designing and implementing robust, efficient and scalable data visualization on Tableau or LookerStudio .
• 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, Airflow, BigQuery, etc
• Strong expertise in programming languages such as Python, NodeJS, SQL 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), CI/CD, JIRA pipelines.
• Big Data Ecosystems / BI : BigQuery, Tableau. LookerStudio
• Industry Domain Knowledge: Google Analytics (GA), Hubspot, Accounting/Compliance etc
• 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

About 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 the Data Analyst, where they 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 (COO). They’ll discuss your last 1-2 roles to understand your experience in more detail.

Behavioural fit assessment

A ~60 minute chat with our Head of HR or Head of Hiring, where they will dive into some of your recent work situations to understand how you think and work.

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.

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.

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 2-3 days per week if you live in Singapore or Hong Kong, or 5 days per week if you’re fully remote. 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. We have planted over 29,271 trees to reforest our ecosystem and saved 7 tons of paper from landfills by processing over 1.4M pages through SleekSign. We aim to be Carbon Neutral by 2030.