Remote Data Engineer: Build Scalable Data Platforms

Synthomer; United States; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Discretionary bonus

LTIP

Car allowance

Healthcare

Parental leave

Flexible work options

Learning & development

Wellbeing program

Retirement plan

Inclusion culture

Recognition programs

Job summary

Synthomer is expanding its Digital Centre of Excellence and seeks a Data Engineer who can design scalable data pipelines and cloud-based data products. You will partner with Data Scientists and enterprise teams to deliver robust data assets that power analytics and AI initiatives.

You’ll implement governance, security, and quality controls while shaping the future data landscape across our global organization, with remote collaboration across regions.

Qualifications

• 3-5 years of experience in Data Engineering.
• Strong expertise in Python, SQL, Databricks, and Apache Spark.
• Experience building ELT pipelines in cloud environments.
• Solid understanding of data modelling, architecture, and governance.
• Experience working with modern data platforms and scalable data solutions.
• A collaborative mindset and strong problem-solving abilities.

Responsibilities

• Design and develop scalable data pipelines and integrations across multiple enterprise systems and external data sources.
• Build and maintain cloud-based data products using Databricks, Delta Lake, and Apache Spark.
• Create trusted datasets that support analytics, reporting, and AI initiatives.
• Implement data quality, governance, security, and monitoring frameworks.
• Collaborate with Data Scientists to enable advanced analytics and machine learning use cases.
• Drive continuous improvement of our global data ecosystem and engineering standards.
• Contribute to the growth and maturity of our newly established Digital CoE.

Skills

Python

SQL

Databricks

Apache Spark

Tools

Databricks

Apache Spark

Cloud platforms

Job description

Synthomer is expanding its Digital Centre of Excellence and seeks a Data Engineer who can design scalable data pipelines and cloud-based data products. You will partner with Data Scientists and enterprise teams to deliver robust data assets that power analytics and AI initiatives.

You’ll implement governance, security, and quality controls while shaping the future data landscape across our global organization, with remote collaboration across regions.