Data Engineer

Description

Summary: The Data Engineer is responsible for designing, building, and maintaining the data infrastructure that powers analytics, reporting, and data-driven decision-making. Highlights: 1. Design, build, and maintain scalable data pipelines and ETL/ELT processes. 2. Implement data quality checks, validation rules, and monitoring processes. 3. Partner with data analysts, data scientists, and business stakeholders. Job Description \#body.unify div.unify\-button\-container .unify\-apply\-now: focus, \#body.unify div.unify\-button\-container .unify\-apply\-\#body.unify div.unify\-button\-container .unify\-apply\-now: focus, \#body.unify div.unify\-button\-container .unify\-apply\-Data Engineer **Job Location:** Lisbon, PRT, 1495\-173 **Contract type:** Permanent Acolad is the global leader in content and language solutions. Its mission is to support companies in every industry to scale across markets and enable growth through cutting\-edge technology and localization expertise. Established in 1995, the group is present in 22 countries across Europe, North America and Asia, with over 1\.600 employees supported by a network of \+10\.000 linguists around the world. **At Acolad, every position is key to our global growth:** we know that we will only succeed if our people succeed. Joining Acolad means a unique opportunity for professional development through a collaborative global environment that promotes talent and creativity. We are continuously looking for new talent (like you!) to support our mission to drive growth and innovation across some of the world’s leading brands. Check out Our brand video to learn more about us! About the role The Data Engineer is responsible for designing, building, and maintaining the data infrastructure that powers analytics, reporting, and data‑driven decision‑making across the organization. This role ensures that data is collected, processed, and delivered efficiently, reliably, and securely, enabling teams to leverage high‑quality datasets for business insights and product innovation. Key Responsibilities Data Architecture \& Pipeline Development Design, build, and maintain scalable data pipelines and ETL/ELT processes. Develop and optimize data architectures to support analytics, reporting, and machine learning workloads. Ensure data models and structures are efficient, well documented, and aligned with business needs. Data Management \& Quality Implement data quality checks, validation rules, and monitoring processes to ensure accuracy and reliability. Develop and maintain data dictionaries, metadata documentation, and data governance standards. Ensure compliance with data privacy, security, and regulatory requirements. Operational Management \& Optimization Monitor pipeline performance, troubleshoot issues, and implement performance improvements. Optimize data storage solutions to balance cost, speed, and scalability. Automate recurring data engineering tasks to improve operational efficiency. Cross Functional Collaboration Partner with data analysts, data scientists, product teams, and business stakeholders to understand data requirements. Translate business needs into technical specifications for data ingestion, transformation, and delivery. Collaborate with engineering teams to integrate data workflows into products and services. Data Analysis \& Reporting Support Enable self service analytics by preparing curated datasets and developing reusable data assets. Support development of dashboards and reports by ensuring data availability and structure. Provide technical guidance on data best practices to non technical stakeholders. Requirements **Experience:** 2–5 years of experience in data engineering, data warehousing, or backend engineering with a strong data focus. Experience designing and maintaining production‑grade ETL/ELT pipelines. Experience working with cloud‑based data platforms. **Level of Education:** Bachelor’s Degree **Field:** Computer Science, Information Systems, Engineering, Mathematics, or a related field. **Language:** Fluent English **Job Specific Skills:** Strong understanding of data modeling, ETL/ELT best practices, and database design Ability to work with large‑scale datasets and distributed systems Strong analytical and problem‑solving skills Ability to translate business requirements into data engineering solutions Solid understanding of data governance, data quality frameworks, and privacy requirements Effective communication and cross‑functional collaboration skills **IT Skills:** Proficiency with SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server) Experience with big data or cloud data technologies (e.g., AWS Redshift, Google BigQuery, Azure Synapse, Databricks, Snowflake) Hands‑on experience with data pipeline tools (Airflow, dbt, Glue, Dataflow, Kafka, Spark) Proficiency in programming languages such as Python or Scala Familiarity with API integrations and data ingestion frameworks Experience with version control and CI/CD workflows (Git, GitHub, GitLab) Knowledge of containerization or orchestration (Docker, Kubernetes) is a plus Experience with data visualization tools (Power BI, Tableau, Looker) is a plus Benefits Acolad is committed to creating a diverse and equitable workforce. We believe that diversity, equity, and inclusion in all its forms—gender, age, disability, marital status, ethnic or social origin, religion, belief, or sexual orientation—enrich the workplace. It opens opportunities for individuals to express their talents, both individually and collectively, and strengthens our ability to adapt to a changing world. As an equal opportunity employer, we welcome and consider applications from all qualified candidates, regardless of their backgrounds. **\#body.unify div.unify\-button\-container .unify\-apply\-now:** focus, \#body.unify div.unify\-button\-container .unify\-apply\-\#body.unify div.unify\-button\-container .unify\-apply\-now: focus, \#body.unify div.unify\-button\-container .unify\-apply\-