Data Engineer

MobiLab Solutions; Aveiro; Hybrid; EUR 45,000 - 65,000; Full time

Benefits offered by this job

Hybrid work mode

Informal and relaxed work environment

Lots of growth opportunities in an国际公司

Young, energetic, and dynamic team

Job summary

At MobiLab Solutions, we are looking for a Data Engineer who can shape data architectures and bring data-driven insights to life across teams.

You will design and maintain data lakes/warehouses, ingest multiple sources, enable ML models, and promote cloud-native data practices in an agile, cross-functional environment. You’ll collaborate, document thoroughly, and drive deployment of scalable data pipelines.

Qualifications

• 3+ years of experience as a Data Engineer.
• Bachelor's degree in computer science, data science, data engineering, mathematics or physics.
• Experience in semantic modeling of complex data landscapes (Data Lake, Data Warehouse, Data Vault, Data Mart).
• Strong knowledge of distributed filesystems, SQL and NoSQL stores.
• Ability to structure data pipelines for reliability, scalability, and performance.
• Experience with analytics engines like Spark or Flink.

Responsibilities

• Design, develop, optimize, and maintain data architecture.
• Ingest data from multiple sources and maintain pipelines.
• Analyze, transform, and process large datasets.
• Enable training and running machine learning models.
• Help customers become cloud-native and data-driven.
• Support knowledge transfer and tool adoption.
• Contribute to new tools, methods, and techniques in an agile team.

Skills

Data engineering mindset

Python

Scala

SQL

Spark

Flink

Team player

Documentation

Education

Bachelor's degree in CS / Data Science / Data Engineering

Tools

JSON

Parquet

ORC

Job description

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

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? 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!

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 models.
• 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:

• 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.

Perks you’ll love:

• Hybrid work mode.
• Informal and relaxed work environment.
• Lots of growth opportunities in an international company.
• Enjoy a young, energetic, and dynamic team.

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.

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