Randstad Digital is hiring a Data Engineer for direct integration, in a company located in Porto.
Hybrid work model (3 days on-site; 2 days remote / week).
responsabilidades chave Designs, builds, and maintains the infrastructure that enables the collection, storage, and processing of data within the HR function; Responsible for designing, developing, and implementing comprehensive analytics solutions that facilitate data-driven decision-making across an organization; Design, implement, and manage data pipelines that extract, transform, and load data from various sources to data warehouses or data lakes; Combine data from diverse sources (databases, APIs, file systems, and streaming services) to create a unified, organized data source; Optimize queries, data structures, and indexing strategies to ensure efficient and fast data retrieval, especially for large datasets; Resolve issues within data pipelines, monitor for performance bottlenecks, and implement solutions to improve reliability and efficiency; Structure andprepare data to be easily accessed and queried by data scientists, analysts, and machine learning models; In collaboration with the HR Reporting & Analytics team (and other data teams), create and process data features used in predictive models, ensuring data pipelines meet analytical requirements; Automate and schedule data workflows, ensuring that data pipelines run consistently and with minimal manual intervention; Use statistical techniques and tools (such as SQL, Python, R, or Excel) to analyze complex datasets and identify trends, patterns, and correlations; Conduct exploratory data analysis (EDA) to understand data distributions and relationships.
competências Degree in Computer Science, Information Technology, Software Engineering, Statistics or Data Science; More than 3 years' experience working ETL systems, and big data tools; Skills in tuning queries and optimizing the data pipeline for faster, more efficient data flow; Experience designing efficient data models (star schema, snowflake schema) for relational and dimensional databases to improve data retrieval and analysis; Hands-on experience with data warehousing solutions like Amazon Redshift, Google BigQuery, Snowflake, or Azure Synapse for storing, processing, and querying large datasets; Practical experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure (Microsoft Azure preferred); Working with data lakes (e.G.
Azure Data Lake), particularly when handling unstructured or semi-structured data at scale; Proficiency in Python for data manipulation and scripting, as well as SQL for data querying and management; Practical experience in data visualization tools (Tableau, Looker, Power BI); Fluent in English, both spoken and written; Ability to manage complexity and timelines.
Detail oriented and data driven work style; Great communication and ability to work in an international environment.
Great presentation skills.
principais benefícios Direct contract (contrato sem termo), health and life insurance, meal allowance of 10,2 €/work day, annual bonus up to 8% (company results and individual performance) + 40€ / month transportation + pension plan.
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