Senior Data Engineer at Valtech Limited

, , Poland -

Full Time

Start Date

Immediate

Expiry Date

12 May, 26

Salary

0.0

Posted On

11 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Apache Spark, Delta Lake, Streaming Technologies, Python, SQL, Data Modeling, Data Governance, Data Security, Databricks, Fabric, Snowflake, AWS, GCP, CI/CD, Infrastructure-as-Code, Machine Learning, AI

Industry

IT Services and IT Consulting

Description

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 We are looking for an experienced Senior Data Engineer to help design, build, and optimize modern data solutions. You will work on scalable batch and streaming pipelines, ensure high standards of data governance and security, and contribute to a cloud-based data platform used for analytics and AI. Our preferred platforms are Databricks, Fabric, Snowflake, AWS, and GCP (in that order). If you have experience in Azure data services, that knowledge is highly relevant and transferable to Fabric. 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 Build & Optimize Pipelines: Develop reliable batch and streaming data pipelines using Spark, Delta Lake, and modern frameworks. Data Platform Engineering: Implement ingestion, transformation, and curation workflows across Databricks, Fabric, Snowflake, AWS, or GCP. Model Data: Design logical and physical models that support analytics, AI, and business processes. Orchestrate Workflows: Use orchestration tools like Lakeflow, Airflow, dbt, or equivalent to manage end-to-end data processes. Governance & Security: Apply best practices for data governance, lineage, and secure access. Collaborate: Partner with data scientists, analysts, and business stakeholders to deliver data solutions that meet real-world needs. Optimize: Monitor and tune pipelines and infrastructure for scalability, reliability, and cost efficiency. Must have qualifications To be considered for this role, you must meet the following essential qualifications: Technical Skills: Strong hands-on experience with Apache Spark, Delta Lake, and streaming technologies Solid programming skills in Python and SQL Good understanding of data modeling, governance, and security best practices Platforms: Experience in one or more of Databricks, Fabric, Snowflake, AWS, or GCP Knowledge of Azure data services is considered transferable to Fabric Mindset: Problem-solving approach with a focus on scalability and efficiency Strong communication and collaboration skills in cross-functional teams Nice to have qualifications Familiarity with CI/CD for data pipelines Experience with infrastructure-as-code (Terraform, ARM, CloudFormation) Exposure to machine learning or AI-driven data pipelines 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. 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! 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.

Responsibilities

The Senior Data Engineer will design, build, and optimize modern data solutions, focusing on scalable batch and streaming pipelines. Responsibilities include implementing data workflows, ensuring data governance and security, and collaborating with cross-functional teams.