Data Platform Engineer
Ebiquity Open · verified Oct 24, 2026 Hybrid Full-time Mid-level Data Engineering
At a glance
Mid-level Data Engineering role at Ebiquity. Full-time.
Pay not stated Data Platform Engineer salary
RoleData Engineering
SeniorityMid-level
WorkplaceHybrid
EmploymentFull-time
PostedAug 13, 2026 · 2mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and tune ETL pipelines so large data volumes move efficiently through the platform
- Automate deployment workflows with CI/CD, and improve them as the data engineering process evolves
- Shape data models, warehouse structures and integration approaches, while protecting data quality and governance
- Help junior engineers develop through mentoring, and take part in sprint planning and architecture discussions
- Find ways to automate recurring work and improve the platform’s scale, speed and maintainability
What you bring
- You can use Python and SQL for data transformation, and write code others can maintain and understand
- You have worked with ETL, data warehouses and data modeling in production projects
- You have hands-on experience with a cloud data platform such as Azure, AWS or GCP
- You understand CI/CD, Agile and DevOps practices for data engineering work
Who this fits
This role suits a mid-level engineer with experience across data pipelines and warehousing who enjoys solving operational problems and collaborating with a team. You’ll work in a hybrid setup and help mentor junior engineers.
From the employer
Data Platform Engineer – Production Data Engineering Team
If you are passionate about data engineering, automation, and building scalable data solutions, we would love to hear from you!
About Ebiquity and Our Team
Ebiquity is the leading independent marketing and media consultancy, helping global brands optimize their media investments. Our Data Engineering teams are at the heart of this mission. We build the data infrastructure to transform vast amount of data into actionable insights that drive better decision-making. We build and continuously improve our data platform capabilities to ensure high quality, enriched and managed data.
Why Join Us?
· Collaborative, Agile & High-Performing Team – Join a team that not only values knowledge-sharing and continuous learning but also follows modern agile methodologies and DevOps practices. We are proud to be a high-performing team, consistently excelling according to DORA metrics. · End-to-End Data Engineering – Get hands-on experience with data extraction, transformation, load, warehousing, and visualization—not just one piece of the puzzle. · Exposure to Cutting-Edge Technologies – Work with the latest developments in modern cloud-based data platforms. · Constant Challenges & Learning Opportunities – Embrace a role where you are constantly challenged to innovate and grow, with ongoing opportunities to expand your skill set and explore new ideas. · Work-Life Balance & Flexibility – We support a hybrid working model, offering the flexibility to work from home while staying connected with the team in the office. · Impact-Driven Work – Your contributions will directly influence how global brands make media investment decisions, giving your work real-world impact.
Who You Are
· Driven and Ambitious: You are motivated to succeed in building highly scalable data environments and have a proven track record of successful ETL/DWH projects. · Excellent Communicator: You communicate clearly and effectively, able to explain complex issues and articulate your work with confidence. · Curious and Creative: You embrace openness to experience—constantly exploring new ideas and innovative solutions. · Team-Oriented: A true team player, you thrive within collaborative environments and actively contribute to improving team processes. · Strong Problem Solver: You possess excellent problem-solving skills, efficiently troubleshooting data pipeline issues and finding optimal solutions. · Accountable and Transparent: You take full ownership of your work, consistently communicating progress and challenges. · Positive Attitude: You bring energy and enthusiasm to the team, fostering a supportive and dynamic work atmosphere. · Develop & optimize ETL pipelines to process large-scale data efficiently. · Implement CI/CD pipelines to automate and improve deployment processes. · Work with data modeling, warehousing, and integration strategies. · Ensure data quality, governance, and monitoring are maintained and enhanced. · Support and mentor junior engineers, fostering a culture of knowledge-sharing and best practices. · Contribute to the scalability and performance of our data infrastructure. · Participate in Agile development, contributing to sprint planning and team discussions. · Engage in architectural discussions, ensuring long-term maintainability of data solutions. · Proactively identify opportunities for automation and process improvements. Must-Have
· Proficiency in Python & SQL for data processing and transformation. · Ability to write clean, maintainable, and well-documented code. · Experience with ETL processes, data warehousing, and data modeling. · Hands-on experience with cloud-based data platforms (Azure, AWS, or GCP). · CI/CD knowledge and best practices for data engineering workflows. · Agile & DevOps experience, understanding modern data development lifecycles. · Strong problem-solving skills and a proactive mindset. · Excellent communication and collaboration skills, capable of working both independently and within a team.
Nice-to-Have
· Experience with PySpark and Databricks. · Full-stack development experience, particularly with Django (UI & backend). · Knowledge of data visualization tools and their integration with data pipelines. · Familiarity with monitoring, logging, and alerting for data systems. · Exposure to data governance and security best practices.
If you are passionate about data engineering, automation, and building scalable data solutions, we would love to hear from you!
About Ebiquity and Our Team
Ebiquity is the leading independent marketing and media consultancy, helping global brands optimize their media investments. Our Data Engineering teams are at the heart of this mission. We build the data infrastructure to transform vast amount of data into actionable insights that drive better decision-making. We build and continuously improve our data platform capabilities to ensure high quality, enriched and managed data.
Why Join Us?
· Collaborative, Agile & High-Performing Team – Join a team that not only values knowledge-sharing and continuous learning but also follows modern agile methodologies and DevOps practices. We are proud to be a high-performing team, consistently excelling according to DORA metrics. · End-to-End Data Engineering – Get hands-on experience with data extraction, transformation, load, warehousing, and visualization—not just one piece of the puzzle. · Exposure to Cutting-Edge Technologies – Work with the latest developments in modern cloud-based data platforms. · Constant Challenges & Learning Opportunities – Embrace a role where you are constantly challenged to innovate and grow, with ongoing opportunities to expand your skill set and explore new ideas. · Work-Life Balance & Flexibility – We support a hybrid working model, offering the flexibility to work from home while staying connected with the team in the office. · Impact-Driven Work – Your contributions will directly influence how global brands make media investment decisions, giving your work real-world impact.
Who You Are
· Driven and Ambitious: You are motivated to succeed in building highly scalable data environments and have a proven track record of successful ETL/DWH projects. · Excellent Communicator: You communicate clearly and effectively, able to explain complex issues and articulate your work with confidence. · Curious and Creative: You embrace openness to experience—constantly exploring new ideas and innovative solutions. · Team-Oriented: A true team player, you thrive within collaborative environments and actively contribute to improving team processes. · Strong Problem Solver: You possess excellent problem-solving skills, efficiently troubleshooting data pipeline issues and finding optimal solutions. · Accountable and Transparent: You take full ownership of your work, consistently communicating progress and challenges. · Positive Attitude: You bring energy and enthusiasm to the team, fostering a supportive and dynamic work atmosphere. · Develop & optimize ETL pipelines to process large-scale data efficiently. · Implement CI/CD pipelines to automate and improve deployment processes. · Work with data modeling, warehousing, and integration strategies. · Ensure data quality, governance, and monitoring are maintained and enhanced. · Support and mentor junior engineers, fostering a culture of knowledge-sharing and best practices. · Contribute to the scalability and performance of our data infrastructure. · Participate in Agile development, contributing to sprint planning and team discussions. · Engage in architectural discussions, ensuring long-term maintainability of data solutions. · Proactively identify opportunities for automation and process improvements. Must-Have
· Proficiency in Python & SQL for data processing and transformation. · Ability to write clean, maintainable, and well-documented code. · Experience with ETL processes, data warehousing, and data modeling. · Hands-on experience with cloud-based data platforms (Azure, AWS, or GCP). · CI/CD knowledge and best practices for data engineering workflows. · Agile & DevOps experience, understanding modern data development lifecycles. · Strong problem-solving skills and a proactive mindset. · Excellent communication and collaboration skills, capable of working both independently and within a team.
Nice-to-Have
· Experience with PySpark and Databricks. · Full-stack development experience, particularly with Django (UI & backend). · Knowledge of data visualization tools and their integration with data pipelines. · Familiarity with monitoring, logging, and alerting for data systems. · Exposure to data governance and security best practices.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.