Senior Data Engineer

Opplane

Lisboa

Híbrido

EUR 60 000 - 80 000

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Office Snacks

Team Activities

Flexible Work Schedule

Resumo da oferta

A leading data solutions provider in Lisbon seeks a Senior Data Engineer with 5+ years of experience. The candidate will design, build, and maintain scalable data platforms and collaborate with cross-functional teams. Proficiency in Python, Apache Spark, and data modeling is essential. The position embraces a hybrid work model, with three days in the office and two remote. Ideal for those passionate about data and looking to contribute in a dynamic environment.

Qualificações

5+ years of professional experience in software engineering or data engineering.
Strong software engineering skills with Python in large-scale environments.
Hands-on experience with big data frameworks such as Spark.

Responsabilidades

Design and maintain scalable data processing pipelines.
Build microservices using Python for data-driven features.
Ensure data integrity and implement best practices for security.

Conhecimentos

Software Engineering Skills

Strong Python

Data Modeling

Distributed Systems Understanding

Problem-Solving Skills

Formação académica

Computer Science or Engineering Degree

Ferramentas

Apache Spark

PySpark

Apache Kafka

GCP (BigQuery, Dataflow)

CI/CD Tools

Descrição da oferta de emprego

Join to apply for the Senior Data Engineer role at Opplane.

Opplane specializes in providing advanced data‑focused solutions for financial services, telecommunication, and reg‑tech to accelerate their digital transformation journey. Opplane leadership team is comprised of Silicon Valley serial entrepreneurs and experienced executives. Its expertise comes from years of specific industry experience at some of the world’s top companies, such as PayPal, Xerox Parc, Amazon, Wells Fargo, SoFi in the areas of product management, data technology, data governance, data privacy, security, machine learning, and risk management.

About the Team

Multicultural Fusion: Our team comprises individuals from all corners of the world, bringing together a rich tapestry of cultures, ideas, and perspectives. We believe diversity is our strength, driving innovation and creativity in our projects.
Fast‑Paced Startup Environment: We thrive in a dynamic, fast‑paced startup environment where adaptability and agility are prized. If you're looking for a place where your ideas can spark change, you've found it.
Individual Accountability: We value personal responsibility and accountability. Each team member has a critical role, and we trust you to own your part in our collective success.
Non‑Formal Team Culture: We break away from stuffy, formal work environments. Our culture is friendly, collaborative, and down‑to‑earth.
Office Snacks and Activities: Fuel your work with various snacks and enjoy fun activities that keep our team spirit high. Whether it's a darts match, board games, or yoga, we believe a happy team is productive.

We are looking for a Senior Data Engineer with minimum 5+ years of professional experience to design, build, and maintain scalable, high‑performance data platforms that power our analytics and machine learning initiatives. You will work in a distributed, data‑intensive environment and collaborate with cross‑functional teams to ensure data accuracy, reliability, and security.

Design, develop, and maintain scalable data processing pipelines and workflows using frameworks such as Apache Spark, PySpark, and Apache Beam.

Build and maintain microservices in Python that serve data‑driven features in production.

Develop internal tools to support CI/CD pipelines, experiment tracking, and data versioning.

Collect, process, and integrate large datasets from multiple sources, including databases, file systems, and APIs.

Ensure data integrity, consistency, and quality through robust validation and monitoring processes.

Optimize data systems for performance, scalability, and high availability.

Implement best practices for data security, access control, and privacy.

Collaborate with data scientists, analysts, and engineers to support analytics and ML workflows.

Job Qualifications:

You have a solid academic background in Computer Science, Engineering, or related fields.

You are passionate about data, enjoy working in fast‑paced, collaborative environments, and thrive on solving complex problems.

You are an innovator that thinks about how data technology can solve new product opportunities.

You understand the ecosystem of data technologies, for example data governance and data integration software.

You can manage interactions with potential customers.

Must have:

5+ years of professional experience in software engineering or data engineering.
Strong software engineering skills with Python in large‑scale, high‑performance production environments.
Hands‑on experience with Spark/PySpark and other big data frameworks.
Expertise in data modeling and working with both structured and unstructured data.
Hands‑on experience with streaming data platforms, particularly Apache Kafka.
Strong understanding of distributed systems and modern data architectures.
Experience working with cloud platforms, preferably GCP (BigQuery, Dataflow, Pub/Sub, Dataproc).
Excellent problem‑solving and communication skills.

Nice to have:

Experience with Databricks and real‑time data processing frameworks.
Experience with NoSQL databases (e.g., Redis, Neo4j) and data lakes.
Knowledge of ML workflows and algorithms.
Exposure to other cloud platforms (AWS, Azure) and relevant certifications.
Familiarity with ETL/integration tools (Talend, Airflow, dbt, etc.).
Hands‑on experience with version control (Git) and CI/CD pipelines.

Other Job Requirements:

The desired candidates should be open to:

Being located in Lisbon, Portugal, or open to relocating from elsewhere in Europe to Lisbon, Portugal.
Embracing a hybrid work approach, with 3 days in the office and two days working remotely. Spending time in the office is essential for building in‑person connections, fostering teamwork, and facilitating productive whiteboarding sessions and brainstorming.

Seniority level