About the Position

Data Engineer (English speaking) (M/F/D)

Location: Aveiro, Portugal

Are you passionate about data engineering and transforming data into valuable assets? Do you thrive in an agile environment and enjoy working with complex datasets? If so, we want you on our team!

For this position, it is necessary to be available to come to the office at least 2x a week.

About the Role

Data engineering is your passion, and you love to make sure that data can be turned into valuable assets? Are you keen on creating data products that enable teams and organizations to increase their productivity? Do you have solid experience in designing and maintaining data architectures? Do you have an engineering mindset and love to analyze complex datasets? Do you love to work in an agile environment and deliver in short iterations?

If this sounds interesting to you, then it is YOU we need in our team!

Responsibilities

Design, develop, optimize, and maintain data architecture.
Design and maintain ingestion of multiple data sources.
Analyze, manipulate, transform, and process large and complex datasets.
Enable training and running machine learning models.
Build real-time data pipelines.
Help our customers to become cloud-native and data-driven companies.
Support your team with active knowledge transfer.
Be part of and influence the introduction of new tools, methodologies, and techniques.
Work in an agile environment and cross-functional team.

Requirements

At least 3 years of experience as a Data Engineer.
At least 3 years of experience in either Python or Scala and SQL.
Bachelor’s degree in computer science, data science, or data engineering, or a relevant subject such as mathematics or physics.
Experience in semantic modeling of complex data landscapes and familiarity with concepts of Data Lake, Data Warehouse, Data Vault, and Data Mart.
Deep understanding of various data stores, both structured and unstructured, and their capabilities (i.e. distributed filesystems, SQL, and NoSQL data stores).
Knowledge of structuring data pipelines for reliability, scalability, and optimal performance.
Comfortable working with analytics processing engines (i.e. Spark, Flink).
Experience with many different storage formats and knowing when to use which (i.e. JSON, Parquet, ORC).
Fluent in English.

Nice to Have

ML Engineering & MLOps experience, including deploying, tracking, and monitoring models in production using MLFlow, Kubeflow, TensorFlow Serving, or similar tools.
Experience with cloud technologies such as Azure, Databricks, Fabric, Snowflake, AWS Athena, or Google BigQuery.
Experience building real-time data pipelines using tools like Azure, Stream Analytics, Amazon Kinesis, Google Cloud Dataflow, Kafka, or RabbitMQ.
Familiarity with CI/CD for data pipelines and ML models, including tools such as GitHub Actions, Jenkins, or Airflow.

We Offer

Opportunity to work in a dynamic and inclusive team.
Commitment to your professional growth and development.
A chance to directly impact how future business works and contribute to industry-leading companies.

About the Company

At MobiLab, we are committed to empowering our employees to bring their creative mindset into action, guiding our customers toward reaching their full data potential, and becoming Cloud-native organizations.

We are a diverse and dynamic team united by delivering engineering excellence. We are committed to inclusivity, where individuals of all backgrounds, including those with disabilities, feel welcomed and valued. You will directly impact how future business works and contribute to industry-leading companies.

We are dedicated to growing our employees. Our company culture encourages knowledge sharing and learning with a dedicated MobiLab Career Development.

If you’re passionate about Cloud Integration and striving for engineering perfection, we invite you to join our MobiLab Team. Let’s grow together!

Data Engineer (English speaking) (M/F/D)

Job description