At a Glance
- Tasks: Design and optimise data pipelines while collaborating with engineers and analysts.
- Company: PMG, a top-rated global marketing services and tech company.
- Benefits: Generous leave, healthcare, professional development, and annual bonuses.
- Other info: Inclusive culture focused on growth, learning, and community engagement.
- Why this job: Join a dynamic team driving AI innovation and impactful digital solutions.
- Qualifications: 5+ years in software or data engineering with strong Python skills.
The predicted salary is between 60000 - 80000 € per year.
About PMG
PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG utilises business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting‑edge digital solutions and innovative media strategies. Our team comprises 1,000 employees globally, and our work for ambitious brands spans 85+ countries.
Who You Will Be Working With
The AI & Software Engineer III plays a critical role in designing, building, and maintaining core systems that power PMG’s data and AI ecosystem. This position focuses on developing and optimizing scalable data pipelines, managing data ingestion and transformation processes, and supporting the integration of internal and external data sources. You’ll work closely with engineers, data analysts, and product teams to ensure the reliability, performance, and accessibility of data that drives insights and intelligent automation across the organization.
Responsibilities
- Develop and optimize scalable data pipelines, manage data ingestion and transformation processes, and support integration of internal and external data sources.
- Design, build, and maintain scalable data ingestion systems connecting multiple internal and external data sources.
- Develop and manage data workflows across cloud‑based platforms such as AWS S3 and Snowflake.
- Implement robust ELT pipelines using modern tools and frameworks (e.g. dbt, Snowflake).
- Ensure data quality, integrity, and consistency across systems, implementing validation and monitoring mechanisms.
- Collaborate on infrastructure‑as‑code deployments and CI/CD for data systems.
- Contribute to the design and implementation of APIs and internal services that support PMG’s broader product ecosystem.
- Write clean, efficient, and testable code in modern languages, with a focus on Python.
- Apply software engineering best practices, including version control, testing, observability, and deployment automation.
- Participate in code reviews and architectural discussions, surfacing potential risks or improvements.
- Integrate AI and automation techniques into engineering workflows where applicable, improving efficiency and insight generation.
- Develop and maintain datasets and transformations that power analytics, dashboards, and data science use cases.
- Work cross‑functionally with product, technology, and commercial teams to translate requirements into technical solutions.
- Mentor early‑career engineers by providing code feedback, technical guidance, and documentation support.
- Contribute to improving team processes, standards, and tooling for long‑term scalability.
- Communicate effectively with both technical and non‑technical stakeholders.
- Identify opportunities to leverage automation and AI tools to streamline data operations and decision‑making.
- Partner with analytics and product teams to ensure data is accurate, timely, and actionable for reporting and business intelligence.
Requirements
- 5+ years of experience in software or data engineering, with strong coding skills in Python or a similar language.
- Demonstrated experience designing, implementing, and maintaining data pipelines (ETL/ELT).
- Proficiency with SQL and data modeling for analytics and warehousing.
- Hands‑on experience with cloud data platforms (Snowflake, Redshift, BigQuery, or similar).
- Familiarity with cloud services (AWS preferred, including S3, Lambda, ECS, EC2).
- Experience with dbt or equivalent data transformation frameworks.
- Strong problem‑solving skills, attention to detail, and ownership mindset.
- Experience with workflow orchestration tools such as dbt Cloud or Airflow.
- Experience scaling production data ingestion systems.
- Exposure to DevOps and CI/CD practices for data or application deployments.
- Experience in a marketing, analytics, or SaaS environment.
- Experience with SaaS‑based data manipulation tools such as Fivetran or Stitch.
Success Metrics
- You independently own and deliver critical data systems and services that power AI and analytics across the organization.
- You proactively identify and implement improvements to data reliability, performance, and automation.
- You contribute to the culture of technical excellence and continuous learning within the engineering team.
- Your work accelerates PMG’s ability to use data and AI to deliver smarter, faster, and more efficient solutions.
Benefits
- Professional Development: Take advantage of our learning and development programmes, mentorship opportunities, and career advancement support.
- Generous Annual Leave: Benefit from our substantial holiday allowance to recharge and spend time with loved ones.
- Parental Leave: We provide parental leave to support your family during important life events.
- Pension Plan: Plan for your future with up to a competitive 5% contribution match.
- Healthcare: Our Cash Benefit Health Plan ensures coverage for everyday medical expenses and routine care.
- Lifestyle Spending Account: Enjoy 100% company‑funded accounts to promote healthy habits and well‑being.
- Commuter Spending Account: Receive company‑subsidised support for your travel to the office, making your commute more convenient and affordable.
- Annual Bonus: All employees are eligible for an annual bonus.
- Volunteering Opportunities: Receive 8 give‑back hours to volunteer in your local community.
- AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety.
Company Values & Equal Opportunity
Being part of PMG means joining a company culture that’s focused on outcomes not outputs. We’re dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way. In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company.
Forward Deployed Engineer III in London employer: PMG
PMG is an exceptional employer, recognised as one of Ad Age's Best Places to Work for 11 consecutive years and a Fast Company Best Workplace for Innovators since 2022. With a strong focus on professional development, generous annual leave, and a commitment to employee well-being, PMG fosters a collaborative and inclusive work culture that empowers its team members to thrive in their careers while contributing to innovative solutions for renowned brands across the globe.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer III in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at PMG on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your coding skills, especially in Python. Be ready to showcase your experience with data pipelines and cloud platforms like AWS. Practice common technical questions to feel confident!
✨Tip Number 3
Show off your problem-solving skills during interviews. Think of examples where you've tackled challenges in data engineering or software development. PMG loves candidates who can think on their feet and come up with innovative solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the PMG team. Let’s get you that job!
We think you need these skills to ace Forward Deployed Engineer III in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Forward Deployed Engineer III role. Highlight your experience with data pipelines, Python coding, and any relevant cloud platforms. We want to see how your skills align with what we do at PMG!
Showcase Your Projects:Include specific examples of projects you've worked on that demonstrate your expertise in data engineering and software development. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the PMG team!
How to prepare for a job interview at PMG
✨Know Your Tech Stack
Make sure you’re familiar with the specific technologies mentioned in the job description, like Python, SQL, and cloud platforms such as AWS and Snowflake. Brush up on your knowledge of data pipelines and ELT processes, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you tackled complex data challenges. Be ready to explain your thought process and the steps you took to resolve issues. This will demonstrate your analytical skills and ownership mindset, which are crucial for the role.
✨Collaborate and Communicate
Since the role involves working cross-functionally, practice articulating technical concepts to non-technical stakeholders. Think of examples where you successfully collaborated with different teams, as this will highlight your communication skills and ability to mentor others.
✨Emphasise Continuous Learning
PMG values a culture of continuous improvement, so be prepared to discuss how you stay updated with industry trends and technologies. Mention any relevant courses, certifications, or personal projects that showcase your commitment to professional development and innovation.
