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For Companies At a Glance
- Tasks: Design and implement data solutions while collaborating with a dynamic team.
- Company: Join a cutting-edge tech company in Kuala Lumpur, Malaysia, driving innovative data solutions.
- Benefits: Competitive salary, visa support, and accommodation assistance for relocation.
- Why this job: Work with massive datasets and mentor junior engineers in a fast-paced environment.
- Qualifications: Expertise in SQL, Python, and big data technologies required.
- Other info: This is an on-site role; candidates must be willing to relocate to KL.
The predicted salary is between 43200 - 72000 £ per year.
*Do take note that this is an on-site role based in Kuala Lumpur, Malaysia.
*Candidates can be from anywhere in Europe ideally or any part of the world, as long as they are willing to relocate to KL, Malaysia.
Are you passionate about using data to drive innovative solutions in a fast-paced environment? We\’re looking for a Senior Data Engineer to join a cutting-edge technology company based in Kuala Lumpur!
As a Senior Data Engineer, your mission will be to support data scientists, analysts, and software engineers by providing maintainable infrastructure and tooling for end-to-end solutions. You’ll work with terabytes to petabyte-scale data, supporting multiple products and data stakeholders across global offices.
Key Responsibilities
- Design, implement, operate and improve the analytics platform
- Design data solutions using various big data technologies and low latency architectures
- Collaborate with data scientists, business analysts, product managers, software engineers and other data engineers to develop, implement and validate deployed data solutions.
- Maintain the data warehouse with timely and quality data
- Build and maintain data pipelines from internal databases and SaaS applications
- Understand and implement data engineering best practices
- Improve, manage, and teach standards for code maintainability and performance in code submitted and reviewed
- Mentor and provide guidance to junior engineers on the job
Qualifications
- Expert at writing and optimising SQL queries
- Proficiency in Python, Java or similar languages
- Familiarity with data warehousing concepts
- Experience in Airflow or other workflow orchestrators
- Familiarity with basic principles of distributed computing
- Experience with big data technologies like Spark, Delta Lake or others
- Proven ability to innovate and leading delivery of a complex solution
- Excellent verbal and written communication – proven ability to communicate with technical teams and summarise complex analyses in business terms
- Ability to work with shifting deadlines in a fast-paced environment
Desirable Qualifications
- Authoritative in ETL optimisation, designing, coding, and tuning big data processes using Spark
- Knowledge of big data architecture concepts like Lambda or Kappa
- Experience with streaming workflows to process datasets at low latencies
- Experience in managing data – ensuring data quality, tracking lineages, improving data discovery and consumption
- Sound knowledge of distributed systems – able to optimise partitioning, distribution and MPP of high-level data structures
- Experience in working with large databases, efficiently moving billions of rows, and complex data modelling
- Familiarity with AWS is a big plus
- Experience in planning day to day tasks, knowing how and what to prioritise and overseeing their execution
Competitive salary and benefits
We\’ll cover visas, tickets, and 1-2months of accommodation to help you settle in.
What’s Next:
- Interview with our Talent Acquisition team (virtual or face-to-face)
- Technical sample test (discussed in the technical round)
- Final interview with the Hiring Manager (virtual or face-to-face)
Senior Data Engineer employer: Pro5.ai
Contact Detail:
Pro5.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Make sure to showcase your experience with big data technologies like Spark and Delta Lake during the interview. Be prepared to discuss specific projects where you've implemented these technologies and the impact they had on the overall data architecture.
✨Tip Number 2
Since this role involves collaboration with various teams, practice articulating complex technical concepts in simple terms. This will help you demonstrate your excellent communication skills, which are crucial for this position.
✨Tip Number 3
Familiarize yourself with the principles of distributed computing and be ready to discuss how you've optimized data processes in previous roles. Highlight any experience you have with managing large databases and ensuring data quality.
✨Tip Number 4
Since the role is based in Kuala Lumpur, express your enthusiasm for relocating and adapting to a new environment. Research the local tech scene and be prepared to discuss how you can contribute to the team while embracing the cultural shift.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and big data technologies like Spark. Emphasize any relevant projects or roles that showcase your ability to design and implement data solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the responsibilities of the Senior Data Engineer role. Mention your willingness to relocate to Kuala Lumpur and your excitement about working in a fast-paced environment.
Showcase Your Technical Skills: Prepare to discuss your technical expertise during the interview process. Be ready to provide examples of how you've optimized ETL processes or worked with distributed systems. Highlight your experience with data warehousing and workflow orchestrators like Airflow.
Research the Company: Familiarize yourself with the company's mission and values. Understand their products and how they utilize data. This knowledge will help you tailor your application and demonstrate your genuine interest in the role.
How to prepare for a job interview at Pro5.ai
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and big data technologies like Spark. Highlight specific projects where you've designed and implemented data solutions, as this will demonstrate your expertise and problem-solving abilities.
✨Understand the Company’s Data Needs
Research the company’s products and how they utilize data. Be ready to discuss how you can support their data scientists and analysts by providing maintainable infrastructure and tooling, which is crucial for the role.
✨Prepare for Technical Challenges
Expect a technical sample test during the interview process. Brush up on your knowledge of ETL optimization and data warehousing concepts, as well as your ability to innovate and deliver complex solutions.
✨Communicate Effectively
Since excellent verbal and written communication skills are essential, practice summarizing complex analyses in business terms. Be ready to explain your thought process clearly and concisely to both technical and non-technical stakeholders.
