Senior Data Engineer Lisboa

Senior Data Engineer
Lisboa
Lisboa, Lisboa, Portugal

*Do take note that this is an
- 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
- paced environment? We're looking for a Senior Data Engineer to join a
- 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 solutions. You’ll work with terabytes to
- 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 Saa
S 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 guide 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
- 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
- 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- 2 months of accommodation to help you settle in.

What’s Next:

Interview with our Talent Acquisition team (virtual or
-
- face)

Technical sample test (discussed in the technical round)

Final interview with the Hiring Manager (virtual or
-
- face)