Aveiro-Based Data Engineer — Build Scalable Data Pipelines

Axians; Aveiro; Presencial; EUR 35 000 - 55 000; Tempo integral

Resumo da oferta

MobiLab is seeking a Data Engineer with a passion for turning data into valuable assets. You will design, develop and maintain data architectures, and ensure scalable ingestion from multiple sources in an agile environment.

You have at least 3 years of experience with Python or Scala and SQL, a relevant degree, and hands-on knowledge of data lakes, data warehouses, and data vault concepts. Join a cloud-native team driving data-driven decision making.

Qualificações

• Bachelor's degree or equivalent in a relevant field.
• 3+ years of experience in data engineering or a similar role.
• Strong knowledge of data lakes, data warehouses, and data vault concepts.
• Experience with Python/Scala and SQL in production environments.
• Familiarity with cloud-native data architectures and scalable pipelines.
• Fluent in English; able to document and communicate clearly.

Responsabilidades

• Design, develop, and maintain data architectures.
• Define and manage ingestion from multiple data sources.
• Analyze, transform, and process large and complex datasets.
• Enable training and running ML models within data platforms.
• Help customers become cloud-native and data-driven.
• Collaborate in an agile, cross-functional team.
• Contribute to evaluation and adoption of new tools and techniques.

Conhecimentos

Python

Scala

SQL

Data modeling

Formação académica

Bachelor's degree in computer science, data science, or data engineering

Ferramentas

Azure

Databricks

Snowflake

Google BigQuery

Kafka

Airflow

Descrição da oferta de emprego

First insights 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!

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!

For this position, it is necessary to be available to come to the office at least

2x a week .

That's what it's about

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 model.

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.

This is you At heart you are a passionate team player who respects the opinions of your colleagues, as:

You know how to be the best team player.

You have an eye for details and ace in documenting your work.

You are very structured, and you set the benchmark for quality.

You are open to new technologies.

You have at minimum 3 years of experience as a Data Engineer. You have at minimum 3 years of experience in either Python or Scala and SQL.

You have a bachelor's degree in computer science, data science, or data engineering, or you have a relevant subject such as mathematics or physics.

You have experience in semantic modeling of complex data landscapes and are familiar with concepts of Data Lake, Data Warehouse, Data Vault, and Data Mart.

You have a deep understanding of various data stores, both structured and unstructured, and their capabilities (i.E. distributed filesystems, SQL, and NoSQL data stores).

You know exactly how to structure data pipelines for reliability, scalability, and optimal performance.

You are comfortable working with analytics processing engines (i.E. Spark, Flink).

You have worked with many different storage formats and know when to use which (i.E. JSON, Parquet, ORC).

Bonus experience (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.

About us 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.