Portuguese company hires for hybrid position
Location: Lisbon, Portugal
- ️ Only candidates already based in Portugal will be considered
Work Model: Hybrid – 2 days per week at the office
️ Language Requirements: Fluent Portuguese and English B2 – mandatory
Seniority: Senior (5+ years)
Sector: Energy
Rate Between €2200 - 2500 RV
- ️ Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success
We are looking for an experienced Data Engineer with strong Python and SQL skills to develop, operate and maintain data analytics applications within an AWS-based big data platform.
You will work across the complete delivery lifecycle—from architecture discussions and proofs of concept to production deployment, monitoring and continuous improvement. This is an excellent opportunity for someone interested in data science who enjoys solving complex problems and contributing to a small, collaborative and dynamic team.
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Develop end-to-end data analytics and processing capabilities on an AWS big data platform.
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Participate actively in architectural discussions and help define the required data flows and processes.
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Design and build proofs of concept.
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Transform prototypes into reliable, production-ready solutions.
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Test and deploy applications across development, quality assurance and production environments.
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Monitor newly deployed solutions and perform debugging, maintenance and continuous improvements.
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Document the developed features, processes and technical decisions.
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Support data extraction activities and exploratory data analysis.
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Collaborate closely with technical and business stakeholders.
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Contribute proactively to the continuous evolution of the data platform.
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Professional experience with Python, particularly for data manipulation and processing.
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Strong practical experience with SQL.
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Experience in software development, troubleshooting and debugging.
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Interest in data science and data analytics.
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Ability to work autonomously and proactively.
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Strong problem-solving and teamwork skills.
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Fluent Portuguese.
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English proficiency at B2 level.
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Availability to work in a hybrid model, attending the office twice per week.
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Experience with AWS cloud services, such as:
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Amazon S3
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AWS Lambda
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Amazon Athena
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Amazon EC2
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AWS Glue
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AWS CDK or CloudFormation
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AWS Step Functions
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AWS Batch
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AWS Fargate
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Experience with Apache Spark or PySpark.
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Knowledge of Git.
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Experience with Jupyter Notebooks.
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Experience developing applications or supporting solutions in production environments.
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Familiarity with CI/CD, cloud deployments and application monitoring.
The ideal candidate combines strong Python and SQL expertise with hands-on experience building data-processing solutions. You are comfortable participating in architectural discussions, creating proofs of concept and taking solutions through testing, deployment and production support.
You are proactive, autonomous and curious, with a genuine interest in data science and cloud technologies. You enjoy investigating problems, finding practical solutions and working collaboratively within a small and fast-moving team.
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How many years of professional experience do you have with Python and SQL?
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Have you used Python for data manipulation, transformation or large-scale processing? Please provide an example.
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Which AWS services have you used in professional projects?
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Do you have hands-on experience with Spark or PySpark?
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Have you developed and supported applications in production environments?
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Have you deployed solutions across development, QA and production environments?
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What experience do you have with debugging, monitoring and maintaining cloud-based applications?
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Have you created proofs of concept and converted them into production-ready solutions?
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Do you have experience with exploratory data analysis or data science projects?
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Are you fluent in Portuguese and comfortable working in English at B2 level?
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Are you available to work at the office twice per week?
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Is the rate of €2,200–€2,500 aligned with your expectations?
Data Engineer, Python, SQL, AWS, Big Data, Data Processing, Data Manipulation, Data Analytics, Data Science, ETL, Data Pipelines, Amazon S3, AWS Lambda, Amazon Athena, Amazon EC2, AWS Glue, AWS CDK, CloudFormation, AWS Step Functions, AWS Batch, AWS Fargate, Apache Spark, PySpark, Git, Jupyter Notebooks, Cloud Deployment, Production Environment, Debugging, Monitoring, Proof of Concept, POC, Exploratory Data Analysis, CI/CD, Energy Sector
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