Data Engineer at Login.works

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Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Java, Python, AWS, SQL, Apache Spark, PostgreSQL, Redshift, Airflow, Kubernetes, Docker, Terraform, Collaboration, Communication, Problem-Solving, Attention to Detail

Industry

IT Services and IT Consulting

Description

🌟 Opportunity : Data Engineer Our client is a leading player in the e-commerce/marketplace sector, operating a trusted and innovative online marketplace that connects millions of users daily. Committed to sustainability and promoting the circular economy, they simplify transactions and create value for individuals and businesses alike. 🚀 Responsibilities : - Development & Integration: Analyze user needs and translate them into technical solutions. Design and build complex data pipelines for optimal data flow. Build and maintain a lakehouse tailored to the real estate domain. - Cross-functional Coordination: Act as a data referent within the real estate vertical. Collaborate closely with business, strategy, and analyst teams. Participate in demos and internal data engineering guild days. - Operations & Continuous Improvement: Contribute to technical R&D and technology monitoring. Work in a modern stack: Airflow, Spark, AWS (S3, Athena), Kubernetes, Ubuntu, Python, Java, SQL, IntelliJ, Concourse, Docker, Github, Terraform. 👤 Profile sought : Education : A bachelor’s or master’s degree in computer science, engineering, or a related field. Experience : A minimum of 2 years of professional experience in data engineering or a similar role. Technical Skills : Advanced knowledge of Java and Python in Unix-based environments. Proficiency with distributed systems architecture and cloud platforms, particularly AWS (S3, Athena). Familiarity with infrastructure-as-code tools like Terraform. Knowledge of PostgreSQL/Redshift and Apache Spark is a plus Strong SQL skills and understanding of data pipelines. Soft Skills: Strong communication skills with both technical and non-technical stakeholders. A collaborative mindset with the ability to work effectively in team settings. Excellent attention to detail, results-oriented, and a continuous learner. High level of curiosity and a proactive approach to problem-solving. Fluency in English, both written and verbal, is required. 🌍 Benefits & Culture : A forward-thinking, innovative work environment focusing on teamwork and inclusion. Opportunities for professional development and career progression. Commitment to work-life balance and employee well-being. Be part of a mission-driven company contributing to sustainable development. 💼 Department : Tech 📍 Location : Full-remote project, Portugal-based 📆 Starting date : ASAP

Responsibilities

The Data Engineer will analyze user needs and design complex data pipelines while collaborating with various teams. They will also contribute to technical R&D and maintain a lakehouse for the real estate domain.