Job description

As a Senior Data Engineer, you will design and build scalable data systems that power SOCOTEC’s digital platforms and enterprise analytics. You will play a key role in architecting our modern data stack, enabling reliable ingestion, transformation, and modeling of data across multiple enterprise systems. This role requires strong experience in Databricks, distributed data processing, and enterprise data architecture, along with the ability to lead large data initiatives and collaborate with engineering and business teams. You will work closely with software engineers and platform teams to ensure SOCOTEC’s data ecosystem is reliable, scalable, and optimized for both operational systems and advanced analytics. Key Responsibilities Build SOCOTEC’s Enterprise Data Platform • Design and implement scalable data pipelines that ingest and transform data from enterprise systems such as ERP, CRM, and operational databases. • Develop and maintain data pipelines in Databricks using Spark and Delta Lake. • Build and maintain data models that support analytics, AI applications, and operational systems. Lead Master Data Management (MDM) Initiatives • Architect and implement SOCOTEC’s custom MDM platform using Databricks. • Design data models that establish consistent “golden records” across multiple enterprise systems. • Implement data governance, lineage, and quality frameworks. Design Enterprise-Scale Data Pipelines • Build reliable ingestion pipelines for large-scale structured and semi-structured data. • Implement batch and near-real-time data processing pipelines. • Optimize large-scale data processing jobs for performance and cost efficiency. Enable Data for AI and Advanced Analytics • Partner with AI and software engineering teams to deliver high-quality datasets for machine learning and AI applications. • Build data pipelines that support SOCOTEC’s digital products, analytics dashboards, and operational platforms. Drive Data Architecture and Best Practices • Define standards for data modeling, pipeline design, and data quality. • Implement monitoring, observability, and alerting data systems. • Ensure scalability, reliability, and security across the data platform. • 7-10 years with hands on experience with Databricks • Experience designing and owning large enterprise data projects • Strong hands-on experience with Databricks, Apache Spark, and Delta Lake • Experience building enterprise-scale ETL/ELT pipelines • Experience working in enterprise environments with complex data systems • Strong SQL and Python skills Preferred Experience • Experience building Master Data Management (MDM) systems • Experience with modern cloud data stacks (AWS, Azure, or GCP) • Experience integrating data from ERP systems such as Deltek, SAP, or Oracle • Experience with data governance, data lineage, and metadata management • Familiarity with lakehouse architectures and modern data platforms Technical Skills • Databricks • Apache Spark • Delta Lake • Python • SQL • Data modeling • ETL / ELT pipeline development • Cloud data platforms (AWS / Azure) • Data architecture and distributed systems We are looking for someone who: • Has owned and delivered large-scale data platforms • Is comfortable working in complex enterprise environments • Can design systems that scale across multiple business units and data sources • Is passionate about building reliable data infrastructure that enables analytics and AI This role requires both deep technical expertise and architectural thinking, as you will play a key role in shaping SOCOTEC’s long-term data strategy. Why Join SOCOTEC Digital Assurance You will be joining a growing technology group building advanced platforms for the built environment, including: • AI-powered compliance systems • Intelligent inspection workflows • Enterprise analytics platforms • Large-scale data infrastructure supporting engineering services Our goal is to transform how data and expertise flow across the built environment, enabling smarter decisions, faster compliance, and more efficient infrastructure. If you are passionate about building modern data platforms and solving complex data challenges at scale, we’d love to hear from you. Additional information For more information, please visit www.socotec.us Job Type: Full-Time, 4 days a week in office with one hybrid/ remote day Salary: $149-190k Applicants must be legally authorized to work in the United States without the need for current or future employer sponsorship. All your information will be kept confidential according to EEO guidelines. SOCOTEC is an Equal Opportunity Employer.

Requirements

Must-haves

You will work closely with software engineers and platform teams to ensure SOCOTEC’s data ecosystem is reliable, scalable, and optimized for both operational systems and advanced analytics.
Build SOCOTEC’s Enterprise Data Platform
Design and implement scalable data pipelines that ingest and transform data from enterprise systems such as ERP, CRM, and operational databases.
Develop and maintain data pipelines in Databricks using Spark and Delta Lake.
Build and maintain data models that support analytics, AI applications, and operational systems.
Lead Master Data Management (MDM) Initiatives
Architect and implement SOCOTEC’s custom MDM platform using Databricks.
Design data models that establish consistent “golden records” across multiple enterprise systems.
Implement data governance, lineage, and quality frameworks.
Design Enterprise-Scale Data Pipelines
Build reliable ingestion pipelines for large-scale structured and semi-structured data.
Implement batch and near-real-time data processing pipelines.
Optimize large-scale data processing jobs for performance and cost efficiency.
Enable Data for AI and Advanced Analytics
Partner with AI and software engineering teams to deliver high-quality datasets for machine learning and AI applications.
Build data pipelines that support SOCOTEC’s digital products, analytics dashboards, and operational platforms.
Drive Data Architecture and Best Practices

Nice-to-haves

Experience building Master Data Management (MDM) systems
Experience with modern cloud data stacks (AWS, Azure, or GCP)
Experience integrating data from ERP systems such as Deltek, SAP, or Oracle
Experience with data governance, data lineage, and metadata management
Familiarity with lakehouse architectures and modern data platforms
Technical Skills
Apache Spark

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningsqlpythonawsazuregcpdesign systems

Platform: smartrecruiters
Effort: medium