Curinos is hiring a Senior Data Engineer to join our Data Platform team. This team owns the shared data ecosystem upon which our B2B SaaS applications are built. You’ll work with a diverse team of talented engineers, AI and ML scientists, and product managers to build our next generation data and AI platforms, support migration of products from legacy infrastructure, and help product engineering teams leverage the platforms to launch new products and build new genAI applications. As a company that specializes in data-driven insights, the reliability, scalability, and effectiveness of our data & AI platforms are integral to our product offerings. Responsibilities You'll work with product and engineering teams to: Design, build, and maintain scalable and reliable data and AI platforms, including ingestion, storage, validation, governance, monitoring, and ELT patterns. Implement data monitoring and pipeline observability. Proactively identify opportunities and implement solutions to optimize pipeline operations and reduce manual work. Develop and maintain ETL data pipelines for large volumes of data, writing clean, maintainable, and efficient code. Maintain and evangelize high standards in software and data engineering best practices (SDLC, testing, scaling, performance). Proactively identify and implement new technologies and tools. Conduct code reviews and provide feedback. Support adoption of data platform tools and frameworks across teams. Participate in agile ceremonies. Stay current with emerging technologies and industry best practices. Salary Range: $150,000 to $160,000 USD (plus bonus)

Qualifications

Desired Skills and Expertise Advanced proficiency in Python and SQL. Required experience with Spark, including distributed computing and optimization. Preferred experience with Databricks (Unity Catalog, Feature Store, Delta Live Tables). Extensive experience with data pipeline and workflow management tools (e.g., Airflow, Databricks, Glue). Strong understanding of data engineering best practices (ETL/ELT, monitoring, observability, validations). Experience with big data, scaling data processing, and distributed computing. Production support experience. Minimum 3+ years of professional experience (5+ years preferred). Self-discipline and eagerness to learn new skills, tools, and technologies. Solid verbal and written communication skills.

Additional Information

Why work at Curinos? Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask! Competitive annual leave, floating holidays, volunteering days and a day off for your birthday! Learning and development tools to assist with your career development Work with industry leading Subject Matter Experts and specialist products Regular social events and networking opportunities Collaborative, supportive culture, including an active DE&I program Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services Applying: We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at careers@curinos.com and we’ll do everything we can to help. Inclusivity at Curinos: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed.  As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.