Data Engineer (Medior)

What youll be doing
As a Data Engineer you will play a key role in preparing and transforming data for a wide range of analytical and operational use cases. Youll design build and maintain robust data pipelines and applications that power modern marketing cloud environments.
Working closely with our customers youll support their technical teams in identifying needs analysing risks and implementing scalable data solutions. Youll collaborate with data analysts and fellow engineers to rapidly prototype ideas validate strategies and bring innovative data solutions to life.
With your technical expertise and hands-on mindset youll ensure data flows efficiently across systems enabling organisations to make smarter data-driven decisions.

Your responsibilities in a nutshell

• Build and maintain scalable and reliable data pipelines

• Connect systems and platforms through APIs and integrations

• Set up and manage data storage solutions and analytical databases

• Collaborate with clients to understand requirements analyse risks and implement technical solutions

• Work in multi-cloud environments using various ETL tools and technologies

• Implement and operationalise algorithms (AI/ML) developed within the team

• Partner with data analysts to create proof of concepts and validate data strategies

• Provide guidance on best practices and solve complex data and analytics challenges

• Contribute to knowledge sharing training and team development

• (Optionally) Coordinate and support other data engineers

Profile
Our dream candidate
Were looking for someone who combines strong technical expertise with a problem-solving mindset. You enjoy working with data at scale thrive in dynamic environments and are eager to continuously learn and grow.

Experience and expertise

• At least 3 years of experience in data engineering or a related role

• Strong programming skills (e.g. Python JavaScript Java)

• Experience with Jupyter Notebooks

• Solid understanding of database technologies (SQL NoSQL Graph)

• Strong Linux knowledge and experience working with cloud platforms (AWS Azure or GCP)

• Ability to set up and configure infrastructure and environments from scratch

Technical strengths

• Experience with ETL/ELT technologies (e.g. Hadoop Spark Kafka Talend)

• Familiarity with modern data architectures and distributed systems

• Interest in or experience with AI and machine learning technologies

Nice-to-have

• Experience with analytical databases (e.g. Elasticsearch ClickHouse Neo4j)

• Knowledge of data visualization and dashboarding tools (e.g. Grafana Kibana Tableau)

• Experience with containerization and orchestration tools (Docker Kubernetes)

• Familiarity with messaging systems and event-driven architectures

Collaborative and communicative

• Ability to work closely with clients and cross-functional teams

• Strong communication skills and a proactive mindset

• Comfortable working in an international environment (good English required)

Innovative and curious

• Passion for exploring new tools technologies and data solutions

• Eagerness to experiment prototype and improve continuously

Professional skills

• Designing and building data pipelines and workflows

• Developing and integrating APIs

• Designing and managing data storage and database systems

• Implementing and maintaining ETL/ELT processes

• Analyzing and optimizing data flows and system performance

• Supporting deployment and monitoring of data applications

• Testing and validating data solutions

• Translating business needs into technical implementations

• Ensuring data quality reliability and scalability

• Contributing to technical documentation and best practices

• Supporting technical training and knowledge sharing

• Working with cloud platforms and distributed systems

Personal skills

• Planning and organizing

• Coaching and knowledge sharing

• Flexibility and adaptability

• Initiative and proactivity

• Continuous self-development

• Problem-solving mindset

• Creativity

• Customer focus

• Critical thinking

• Analytical mindset

• Decision-making

• Sense of responsibility

• Strong communication

• Team collaboration

• Independence

• Curiosity and eagerness to learn

• Digital mindset