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Senior Data Engineer at Alongside

Lisbon, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

25 Dec, 25

Salary

0.0

Posted On

26 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Integration, ETL, Database Engineering, Data Quality, DevOps, API Integration, Collaboration, Documentation

Industry

Software Development

Description

Our client is an innovative provider of asset performance management & monitoring solutions, empowering the energy industry to thrive in the digital era and is recruiting a Senior Data Engineer. You will design, develop, and optimize our data infrastructure, ensuring reliable ingestion, processing, and availability of large-scale time-series data. Your work will enable advanced machine learning, data-driven decisions, and the optimization of renewable energy assets worldwide. You will collaborate with cross-functional teams and communicate results effectively. Data Architecture & Strategy: Lead the design and implementation of robust data architectures and pipelines that support real-time and batch processing of wind and solar datasets. Data Integration & Transformation: Oversee the ingestion and harmonization of diverse data sources, ensuring reliability, consistency, and performance. ETL & Orchestration: Build, maintain, and optimize ETL/ELT processes with a focus on scalability, modularity, and reusability. Database Engineering: Design and manage high-performance data warehouses and time-series databases (e.g., TimescaleDB, PostgreSQL, MySQL). Quality & Governance: Implement automated data validation, quality checks, and monitoring systems to ensure integrity across the data lifecycle. DevOps Collaboration: Contribute to CI/CD processes and containerization (e.g., Docker) to support robust and agile data delivery. API Integration: Develop and maintain interfaces for seamless data access and integration with internal and external systems. Cross-Functional Collaboration: Partner with product, analytics, and machine learning teams to understand business needs and translate them into data solutions. Documentation & Knowledge Sharing: Promote best practices through comprehensive documentation and mentorship of junior engineers.

Responsibilities

You will design, develop, and optimize data infrastructure for large-scale time-series data. Your work will enable advanced machine learning and data-driven decisions in the renewable energy sector.