Senior Data Engineer

Summary

Join Sleek's growing team as a Senior Data Engineer, designing, building, and maintaining scalable data pipelines and infrastructure. Collaborate with cross-functional teams to translate business needs into impactful data solutions. Ensure data quality, consistency, and security. Optimize data systems and pipelines for performance. Stay current with industry trends and technologies. This role requires 5+ years of experience in data engineering or a related field and proficiency in various technologies. Sleek offers competitive salaries, generous paid time off, flexible work arrangements, and opportunities for personal and professional growth.

Requirements

• 5+ years in data engineering, software engineering, or a related field
• 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
• Advanced knowledge of cloud platforms (AWS, or GCP) and their associated data services
• Expertise in modern data warehouses like BigQuery, Snowflake or Redshift, etc
• Expertise in version control systems (e.g., Git), CI/CD, JIRA pipelines
• BigQuery, Tableau. LookerStudio
• Google Analytics (GA), Hubspot, Accounting/Compliance etc
• Excellent problem-solving abilities, attention to detail, and strong communication skills

Responsibilities

• Design, implement, and optimize robust, scalable ETL/ELT pipelines to process large volumes of structured and unstructured data
• Develop and maintain conceptual, logical, and physical data models to support analytics and reporting requirements
• Architect, deploy, and maintain cloud-based data platforms (e.g., AWS, GCP)
• 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
• Ensure data quality, consistency, and security through robust validation and monitoring frameworks
• Monitor, troubleshoot, and optimize the performance of data systems and pipelines
• Stay up to date with the latest industry trends and emerging technologies to continuously improve data engineering practices
• Work closely with cross-functional teams to translate our business vision into impactful data solutions
• Drive the alignment of data architecture requirements with strategic goals, ensuring each solution not only meets analytical needs but also advances our core objectives
• 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
• Shape the data roadmap, influence design decisions, and empower our team to deliver innovative, scalable, high-quality data solutions every day

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

Benefits

• Competitive market salaries
• Generous paid time off and holiday schedules
• Flexi benefits scheme for home office equipment or health and fitness expenditure
• Employee share ownership plan
• 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
• You can also work fully remote from anywhere in the world for 1 month each year
• Range of internal and external facing training programmes