Our Journey So Far
We started as an engineering, procurement and construction (EPC) company with a mission to deliver projects that combine technical excellence, safety and sustainability through digital intelligence. Over time, we have evolved from a traditional contractor to a data-driven innovation hub that connects design, construction and operations with cutting-edge technology. Today, our teams manage complex industrial and infrastructure projects. By embedding AI-powered analytics, digital twins and smart contracting systems at every stage of the EPC lifecycle, we are building a smarter, more connected and more transparent future for engineering.

Why join us?
We are entering a new era of engineering where data, AI and collaboration are redefining how projects are designed, managed and delivered. Combining engineering expertise with digital innovation, we are creating the next generation of EPC systems, from AI-assisted design validation and smart contract analytics to real-time digital twins and intelligent project dashboards. Joining us means helping to shape the digital backbone of modern infrastructure, where your ideas directly influence decisions from boardrooms to construction sites, driving safer, smarter and more sustainable outcomes.
 

What you will learn next
· Design, build and operate scalable, high-performance data pipelines – both batch and real-time – to support data ingest, transformation and analytics workloads.
· Develop and maintain reliable ETL/ELT processes that integrate data from a wide range of internal and external sources, including event-driven systems and Change Data Capture (CDC) streams.
· Work closely with data science, analytics, product, and engineering teams to translate business needs into robust data solutions that power insights and decision-making.
· Enhance data quality, consistency, traceability, and classification through strong data governance practices and effective metadata management.
· Monitor, troubleshoot, and continuously optimize data platforms to ensure availability, scalability, performance, and visibility.
· Produce comprehensive technical documentation, including pipeline configurations, deployment and setup guides, code documentation, and end-to-end system flow diagrams.
· Contribute to the evolution of data engineering standards, tools, automation, and best practices across the organization.
· Stay up-to-date with emerging data technologies and architectural patterns and assess their applicability and value to the platform.

 

What drives you
· 3+ years of hands-on experience in data engineering or large-scale data infrastructure roles.
· Strong experience with big data processing frameworks such as Apache Spark and streaming platforms such as Apache Kafka.
· Hands-on experience with distributed query engines (such as Trino) and data transformation frameworks such as dbt or equivalent tools.
· Hands-on experience with modern data lakehouse architectures and table formats, including Apache Iceberg.
· Strong understanding of relational databases (MySQL, PostgreSQL), NoSQL systems (Redis, Elasticsearch), and OLAP analytics engines (StarRocks).
· Experience designing and orchestrating data workflows using tools such as Apache Airflow or n8n.
· Strong background in real-time stream processing technologies (e.g. Spark Structured Streaming, kSQLDB).
· Proficiency in Python and Bash for data processing, automation, and operational tasks.
· Experience with monitoring and observability stacks, including Prometheus, Grafana, and ELK.
· Proven ability to design, optimize, and operate high-throughput data pipelines at scale.
· Strong analytical and problem-solving skills, with a proactive and ownership-driven approach.
· Hands-on experience with Docker for containerized development and deployment.

Join us
If you are passionate about building systems that shape the future of engineering and want your code to have a real impact, we would love to meet you. Join us and help redefine what is possible in digital engineering and smart EPC delivery.