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Data Engineer

extra holidays - fully flexible

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Australia

Offer summary

Qualifications:

Bachelor’s degree in Computer Science., 3+ years of experience as a Data Engineer., Strong knowledge of SQL and NoSQL databases., Proficiency in programming languages like Python..

Key responsabilities:

Design and maintain scalable data pipelines.
Collaborate with teams for data insights.

Linksult Marketing & Advertising Scaleup https://linksult.com/

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Job description

Job Title: Data Engineer

Company Overview:
Linksult.com is a leading digital marketing agency that specializes in data-driven strategies to enhance client success. Focusing on analytics, performance metrics, and machine learning models, we help businesses leverage their data to optimize digital marketing efforts and drive measurable results. Our team is dedicated to making data accessible and actionable for our clients.

Job Summary:
We are seeking a highly skilled Data Engineer to join our growing team. In this role, you will be responsible for managing, organizing, and optimizing large datasets, creating scalable data pipelines, and ensuring data integrity across all our marketing and business operations. The ideal candidate will have strong technical expertise in data engineering, with experience in building and maintaining robust data infrastructures.

Responsibilities:

Design, build, and maintain scalable data pipelines to process large datasets efficiently.
Develop and manage data warehouses to store and retrieve data for analysis and reporting purposes.
Collaborate with data scientists and analysts to provide clean, structured data for modeling and insights.
Optimize data systems for speed, reliability, and scalability.
Implement data integration solutions to pull data from multiple sources, such as marketing tools, CRMs, and analytics platforms.
Ensure the accuracy and consistency of data across all systems and reports.
Work with stakeholders to understand data needs and deliver actionable insights through customized reporting.
Implement data quality and governance standards to ensure compliance and best practices.
Continuously evaluate and improve data architectures to support the evolving needs of the business.
Troubleshoot data issues and resolve any discrepancies in reporting or data integration.
Stay up to date with the latest data technologies, trends, and best practices in the industry.

Requirements:

Bachelor’s degree in Computer Science, Engineering, or a related field.
3+ years of experience as a Data Engineer or in a related role, preferably within a digital marketing or large-scale data environment.
Strong knowledge of SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
Experience with data pipeline tools and frameworks (e.g., Apache Spark, Apache Kafka, AWS Redshift, Google BigQuery).
Proficiency in programming languages such as Python, Java, or Scala.
Strong understanding of cloud computing and data storage solutions (e.g., AWS, Google Cloud, Azure).
Experience with data warehousing and ETL (Extract, Transform, Load) processes.
Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
Experience with machine learning models and data automation tools is a plus.
Excellent problem-solving skills and attention to detail.
Strong communication skills to effectively collaborate with technical and non-technical teams.

Location:
Remote, with flexible working hours.

Salary Range:
Competitive, based on experience, with performance-based incentives.

Benefits: