Senior Data Engineer

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

 

The role  

As a Senior Data Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 5 YEARS of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

• Design, build, and maintain highly scalable, reliable, and efficient ETL/ELT pipelines for batch and real-time data processing using various tools and technologies.
• Ingest data from a multitude of sources, including relational databases, APIs, streaming services, cloud storage, and third-party data providers.
• Transform raw data into clean, structured, and AI/ML-ready formats for consumption by data scientists and machine learning models.
• Monitor data pipelines for performance, integrity, and security, troubleshooting and resolving issues as they arise.
• Contribute to the design and evolution of the data architecture, including data lakes, data warehouses, and data marts, ensuring they meet the demands of AI workloads.
• Implement and optimize data storage solutions (e.g., S3, Azure Data Lake Storage, BigQuery, Snowflake) and processing frameworks (e.g., Apache Spark, Flink, Kafka).
• Ensure data security, privacy, and compliance with internal policies and external regulations (e.g., GDPR, CCPA).
• Evaluate and integrate new data technologies and tools to enhance our data platform capabilities.
• Work closely with data scientists, machine learning engineers, and business analysts to understand their data needs and provide tailored data solutions.
• Enable efficient data access for model training, validation, and deployment, including feature engineering and data versioning.
• Support the MLOps lifecycle by providing robust data foundations for automated model retraining and monitoring.
• Optimize data processing for machine learning algorithms, ensuring high performance and cost efficiency.
• Implement and enforce data quality checks and validation processes within pipelines to maintain high data integrity.
• Develop and maintain comprehensive data documentation, including data dictionaries, data lineage, and metadata management.
• Contribute to data governance initiatives, ensuring consistent data definitions and usage across the organization.

 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or a related quantitative field.
• Minimum of 3-5 years of experience as a Data Engineer, with significant experience in building and managing data platforms.
• Proven experience working on projects that directly support Artificial Intelligence, Machine Learning, or Data Science initiatives.
• Strong proficiency in at least one modern programming language (e.g., Python, Scala, Java). Python is highly preferred.
• Extensive experience with big data processing frameworks and stream processing.
• Hands-on experience with GCP’s data services (e.g.,BigQuery, Dataflow, Dataproc).
• Solid understanding of SQL and experience with various database systems (e.g., PostgreSQL, MySQL, SQL Server, NoSQL databases like MongoDB, Cassandra).
• Experience with data warehousing concepts and technologies (e.g., Google BigQuery).
• Experience with workflow orchestration tools (e.g., Airflow, Prefect, Luigi).
• Proficiency with Git and collaborative development workflows.
• Good understanding of data modeling, data warehousing principles, and data lake architectures.
• Familiarity with machine learning concepts, MLOps principles, and how data pipelines feed into AI models.
• Excellent analytical and problem-solving skills, with a keen eye for detail and data accuracy.
• Strong communication skills, able to articulate complex technical concepts to both technical and non-technical stakeholders.
• Ability to work effectively in an Agile team environment, collaborating with cross-functional teams.
• Advanced English-Level communication skills.

 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

 

The benefits  

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

  

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

  

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.