What You Bring

Bachelor's degree in computer science, Data Engineering, Software Engineering, or related field with 7+ years of relevant professional experience.
Strong production experience with Python, SQL, and cloud data platforms (AWS preferred — including services such as Glue, S3, Redshift, and Lambda Snowflake, Azure, or GCP also valued) is required.
Experience with data integration tools, ETL/ELT frameworks, and distributed data processing (such as Spark) is expected.
Proven ability to design and deliver complete data pipelines end-to-end.
Demonstrable fluency with AI coding tools (such as Claude Code, Cursor, GitHub Copilot, or similar) and hands-on experience building data infrastructure that supports generative AI applications (data preparation for LLMs, vector databases, RAG systems) is essential.
Experience with enterprise data platforms (such as Salesforce Data Cloud or similar CRM data systems) is a plus.
Experience navigating ambiguous data landscapes, working directly with business stakeholders, and shipping working solutions rapidly is strongly valued. Experience in an embedded, forward-deployed, or consulting-style engineering model is a strong plus. Bonus Skills / Experience
Must have superior communication skills and be able to work under own initiative with a strong sense of ownership.
This role requires comfort leading in ambiguous environments, building direct trust based relationships with commercial stakeholders, mentoring junior engineers, and making pragmatic decisions that balance delivery speed with technical quality.
You will shape team practices and be expected to lead small projects end-to-end. What We Offer At Newpage, we’re building a company that works smart and grows with agility, where driven individuals come together to do work that matters. We offer:
A people-first culture - Supportive peers, open communication and a strong sense of belonging
Smart, purposeful collaboration - Work with talented colleagues to create technologies that solve meaningful business challenges
Balance that lasts - We respect your time and support a healthy integration of work and life
Room to grow - Opportunities for learning, leadership and career development, shaped around you
Meaningful rewards - Competitive compensation that recognises both contribution and potential

What You Bring

Bachelor's degree in computer science, Data Engineering, Software Engineering, or related field with 7+ years of relevant professional experience.
Strong production experience with Python, SQL, and cloud data platforms (AWS preferred — including services such as Glue, S3, Redshift, and Lambda Snowflake, Azure, or GCP also valued) is required.
Experience with data integration tools, ETL/ELT frameworks, and distributed data processing (such as Spark) is expected.
Proven ability to design and deliver complete data pipelines end-to-end.
Demonstrable fluency with AI coding tools (such as Claude Code, Cursor, GitHub Copilot, or similar) and hands-on experience building data infrastructure that supports generative AI applications (data preparation for LLMs, vector databases, RAG systems) is essential.
Experience with enterprise data platforms (such as Salesforce Data Cloud or similar CRM data systems) is a plus.
Experience navigating ambiguous data landscapes, working directly with business stakeholders, and shipping working solutions rapidly is strongly valued. Experience in an embedded, forward-deployed, or consulting-style engineering model is a strong plus. Bonus Skills / Experience
Must have superior communication skills and be able to work under own initiative with a strong sense of ownership.
This role requires comfort leading in ambiguous environments, building direct trust based relationships with commercial stakeholders, mentoring junior engineers, and making pragmatic decisions that balance delivery speed with technical quality.
You will shape team practices and be expected to lead small projects end-to-end. What We Offer At Newpage, we’re building a company that works smart and grows with agility, where driven individuals come together to do work that matters. We offer:
A people-first culture - Supportive peers, open communication and a strong sense of belonging
Smart, purposeful collaboration - Work with talented colleagues to create technologies that solve meaningful business challenges
Balance that lasts - We respect your time and support a healthy integration of work and life
Room to grow - Opportunities for learning, leadership and career development, shaped around you
Meaningful rewards - Competitive compensation that recognises both contribution and potential

What You Bring

Bachelor's degree in computer science, Data Engineering, Software Engineering, or related field with 7+ years of relevant professional experience.
Strong production experience with Python, SQL, and cloud data platforms (AWS preferred — including services such as Glue, S3, Redshift, and Lambda Snowflake, Azure, or GCP also valued) is required.
Experience with data integration tools, ETL/ELT frameworks, and distributed data processing (such as Spark) is expected.
Proven ability to design and deliver complete data pipelines end-to-end.
Demonstrable fluency with AI coding tools (such as Claude Code, Cursor, GitHub Copilot, or similar) and hands-on experience building data infrastructure that supports generative AI applications (data preparation for LLMs, vector databases, RAG systems) is essential.
Experience with enterprise data platforms (such as Salesforce Data Cloud or similar CRM data systems) is a plus.
Experience navigating ambiguous data landscapes, working directly with business stakeholders, and shipping working solutions rapidly is strongly valued. Experience in an embedded, forward-deployed, or consulting-style engineering model is a strong plus. Bonus Skills / Experience
Must have superior communication skills and be able to work under own initiative with a strong sense of ownership.
This role requires comfort leading in ambiguous environments, building direct trust based relationships with commercial stakeholders, mentoring junior engineers, and making pragmatic decisions that balance delivery speed with technical quality.
You will shape team practices and be expected to lead small projects end-to-end. What We Offer At Newpage, we’re building a company that works smart and grows with agility, where driven individuals come together to do work that matters. We offer:
A people-first culture - Supportive peers, open communication and a strong sense of belonging
Smart, purposeful collaboration - Work with talented colleagues to create technologies that solve meaningful business challenges
Balance that lasts - We respect your time and support a healthy integration of work and life
Room to grow - Opportunities for learning, leadership and career development, shaped around you
Meaningful rewards - Competitive compensation that recognises both contribution and potential

Data Engineer

What You Bring

Data Engineer

What You Bring

Data Engineer

What You Bring