Data Engineer in Perth

Data Engineer job description

A Data Engineer is responsible for designing, building, and maintaining scalable data architectures that support analytics, reporting, and machine learning initiatives. They develop and optimise data pipelines, ensure data quality and reliability, and collaborate with data scientists, analysts, and IT teams to enable data-driven decision-making across the organisation.

Data Engineer duties and responsibilities of the job

Data Engineers play a crucial role in transforming raw data into actionable insights. A Data Engineer job description typically includes:

Designing, developing, and maintaining scalable ETL/ELT pipelines to process data from various sources

Building and managing data warehouses, data lakes, or other storage solutions (on-premises or cloud)

Ensuring data quality, integrity, and consistency through automated validation, cleansing, and testing

Collaborating with data scientists and analysts to understand data requirements and deliver reliable datasets

Optimising database performance (e.g., partitioning, indexing, query tuning) for large-scale datasets

Implementing and enforcing data governance, security, and compliance standards

Monitoring data workflows and troubleshooting pipeline failures or performance bottlenecks

Documenting data models, architecture diagrams, and pipeline designs

Evaluating and integrating new data technologies, tools, and frameworks to improve efficiency

Supporting production deployments and providing on-call support for critical data systems

Typical Data Engineer duties

Strong candidates for Data Engineer roles typically hold a degree in one of the following fields:

Computer Science or Software Engineering

Information Technology

Data Science or Applied Mathematics

Statistics or Physics

Engineering (electrical, electronic, or related disciplines)

Employers often look for the following technical skills and experiences:

Proficiency in programming languages such as Python, Java, or Scala

Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra)

Expertise in ETL/ELT tools and frameworks (e.g., Apache Airflow, AWS Glue, Talend, Informatica)

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka)

Experience with cloud platforms and services (e.g., AWS, Azure, GCP) for data storage and processing

Knowledge of data modeling concepts and dimensional design for analytics

Strong understanding of data governance, privacy, and security best practices

Excellent problem-solving skills and attention to detail

Effective communication skills to work with cross-functional teams

Certifications such as AWS Certified Data Analytics, Google Cloud Professional Data Engineer, or Microsoft Azure Data Engineer Associate are advantageous.

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Salary for Data Engineer in Perth

136250 - 174400

25th percentile

136250

The candidate is new to the role or has limited experience and is building necessary skills.

50th percentile

158050

The candidate has moderate experience in the role, meets most requirements or has equivalent transferable skills, and may also have relevant certifications.

75th percentile

174400

The candidate has extensive experience and advanced skills for the role, and may also have specialised certifications.

Salary range based on three percentiles The starting salaries represent gross yearly salaries. They do not include bonuses, benefits or superannuation.

Projected salaries for related positions

Job title

25th percentile

50th percentile

75th percentile

Database Developer

130800

147150

163500

Database Administrator

130800

152600

168950

Data Analyst

125350

141700

158050

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