Senior Spark Data Engineer at Valtech Limited

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Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Spark, PySpark, Databricks, Data Pipeline Development, Azure Data Factory, Airflow, SQL, Big Data, Cloud Architecture, Data Engineering, Analytics, Machine Learning, API Design, Javascript, HTML, CSS

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 seeking a Senior Spark Data Engineer to take a leadership role in designing, building, and optimizing large-scale data pipelines. This hands-on position requires deep expertise running Apache Spark transformations on Databricks to meet enterprise goals. As a senior member of the team, you will not only contribute technically, but also drive strategic initiatives, and shape data engineering best practices at an enterprise scale. Role responsibilities Demonstrate deep knowledge of the data engineering domain to build and support automated batch and streaming data pipelines. Provide consultation and lead the design and implementation of complex pipelines. Develop and maintain documentation relating to all assigned systems and projects. Tune queries running over billions of rows of data using Spark as a distributed compute engine. Perform root cause analysis to identify permanent resolutions to software or business process issues. Manage communication with project stakeholders as you develop and execute on timelines. Must have qualifications To be considered for this role, you must meet the following essential qualifications: Proven industry experience executing data engineering, analytics and/or data science projects Strong/expert Spark (PySpark) on Databricks Hands-on data pipeline development, real world experience with orchestration tools such as Azure Data Factory (ADF) or Airflow Strong/expert level of experience in SQL Collaborative, proactive, communicative, able to work remotely while remaining engaged as a team member. Experience analyzing needs and designing high volume pipelines Nice to have qualifications Familiarity with semantic/metadata layer tools such as Databricks Unity Catalog or Collibra Proficiency in big data environments and tools such as Hive, Impala, Pig, etc. Proficiency with cloud architecture components (AWS, Azure, Google) Experience leading and managing technical data/analytics/machine learning projects Familiarity with front and back-end web application stacks and frameworks (Javascript, HTML, CSS, React/Vue/AngularJS) and API design and usage (REST/GraphQL) Bachelors/Masters degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science or computation-intensive Sciences and Humanities. Certifications from Databricks (specifically Certified Data Engineer Professional) 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 This is a full time position based in Canada. 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 Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts 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. For applicants in California, please see Valtech's CPRA Privacy Notice here.

Responsibilities

The Senior Spark Data Engineer will design, build, and optimize large-scale data pipelines while driving strategic initiatives and shaping data engineering best practices. This role requires deep expertise in Apache Spark transformations on Databricks and involves consultation and leadership in complex pipeline implementations.