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For Companies At a Glance
- Tasks: Design and optimise scalable data pipelines and ML workflows using cutting-edge technologies.
- Company: Join Dotdigital, a vibrant global community focused on innovation and teamwork.
- Benefits: Enjoy competitive salary, medical benefits, parental leave, and wellbeing rewards.
- Why this job: Shape the future of machine learning while collaborating with diverse, talented professionals.
- Qualifications: 5+ years in data or ML engineering, proficient in Python and PySpark.
- Other info: Flexible work culture that promotes personal and professional growth.
The predicted salary is between 48000 - 72000 £ per year.
About Us
The Company: Dotdigital is a thriving global community of passionate, dedicated professionals, committed to the collective success of the organization and its clients. Our core principles of innovation, teamwork, and client‑focused solutions drive us to approach challenges with a growth mindset and take ownership of our work. At Dotdigital, collaboration and curiosity pave the way for meaningful connections and learning opportunities with diverse peers. Our work environment encourages knowledge sharing, fosters exploration, and cherishes creative ideas. Combined, these guide us towards a shared vision in which brands around the world exceed customer expectations through the adoption of responsible marketing practices.
The Product: Dotdigital is an all‑in‑one customer experience and data platform (CXDP) that empowers marketing teams to exceed customer expectations with highly personalized cross‑channel journeys. With Dotdigital, marketers can seamlessly unify, enrich, and segment customer data. Breaking down data silos, Dotdigital streamlines decision‑making and paves the way for marketing creativity that delivers customer engagement at scale. With powerful AI capabilities, Dotdigital makes it easy to automate deeply personalized experiences across web, email, SMS, WhatsApp, chat, push, social, ads, and more.
About the Role
We’re looking for a highly skilled Machine Learning Engineer to join our data and analytics team. You’ll design, build, and optimize scalable, high‑performance data pipelines and ML workflows on Databricks, leveraging PySpark, Unity Catalog, and modern data lake house technologies such as Delta Lake and Apache Iceberg. This is an exciting opportunity to shape our ML infrastructure and production pipelines, working at the intersection of data engineering and applied machine learning. We supply our customers with an array of predictive data science models, training and executing thousands of models that are uniquely configured to provide tailored results.
Responsibilities
- Architect and implement high‑throughput data pipelines using PySpark on the Databricks platform to support large‑scale ML workloads.
- Develop and operationalise ML workflows and model pipelines leveraging industry‑leading frameworks and MLOps practices.
- Drive data governance and metadata management via feature stores to ensure data quality, lineage and compliance.
- Work with modern data lake house storage formats such as Delta Lake and Apache Iceberg to deliver reliable, performant data architectures.
- Collaborate across cross‑functional teams including data engineering, data science, analytics and product to translate business challenges into scalable ML solutions.
- Monitor, tune and optimise the performance, cost‑efficiency and reliability of data/ML pipelines in a production environment.
- Stay abreast of emerging technologies and best practices in data engineering, ML infrastructure and pipeline design to lift our platform continuously.
About You
Technical Expertise
- A strong track record (typically 5+ years) in data engineering or ML engineering, with significant experience in building large‑scale data pipelines and production ML systems.
- Proficiency in Python, and strong hands‑on experience with PySpark in distributed, big‑data environments.
- Proven experience with Databricks (cluster config, job orchestration, runtime optimisation).
- Deep understanding and practical use of Unity Catalog, Delta Lake and Apache Iceberg in data lake house architectures.
- Expertise in data modelling, partitioning strategies, performance tuning and best practices for high‑throughput data systems.
- Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit‑learn) and experience deploying models into production.
- Experience with CI/CD pipelines for data and ML code.
- Excellent communication skills and ability to work collaboratively in agile team environments.
Engineering Leadership
- Proven experience owning complex technical problems, guiding and influencing cross‑team solutions and lifting platform standards.
- Comfortable driving infrastructure or platform‑level initiatives, making architectural decisions that align with business outcomes.
- A proactive mindset with the ability to identify and evangelise tools, practices and improvements that elevate the team’s capability.
Bonus
- Experience on cloud platforms such as AWS, Azure or GCP.
- Exposure to streaming architectures (e.g., Structured Streaming, Kafka) or real‑time ML.
- Background with feature stores, data governance frameworks or data quality tooling.
- Experience using Databricks or similar data platforms.
Why Us
Don’t just take our word for it – hear what your future colleagues have to say about working in our team: As a member of the Data Engineering team I had the opportunity to work on a wide variety of data platforms, which not only broadens my knowledge base but also keeps me constantly engaged with evolving technologies. The team I work with is highly skilled and truly inspiring. We motivate each other to innovate and excel in solving complex, large‑scale problems with multi‑terabyte datasets and high throughput rates. Moreover, Dotdigital embraces a relaxed and flexible work culture, ensuring the great balance between productivity and well‑being. If you seek an environment that fosters personal and professional growth, Dotdigital’s data team is the perfect match.
Interview Process
- 15 min Screening Call with Talent Team
- Stage 1: Role deep dive with hiring manager(s)
- Stage 2: Technical interview with data science team
Some of Our Global Benefits
- Parental leave
- Medical benefits
- Paid sick leave
- Dotdigital day
- Share reward
- Wellbeing reward
- Wellbeing Days
- Loyalty reward
DEI Commitment
As an equal opportunities employer we are committed to equality in all its practices with regard to race, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation. If you have any additional requirements or adjustments to assist an application then please don’t hesitate to contact us and advise us how we can best support you.
Legal Statement
No agencies/recruiters please. We are only accepting applications directly from the applicants. If you are a recruiter, please refrain from reaching out to our staff about this position. Anything contrary will be treated as unsolicited approach under the applicable data protection law.
Machine Learning Engineer Product & Technology · South Africa · in Croydon employer: dotdigital
Contact Detail:
dotdigital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer Product & Technology · South Africa · in Croydon
✨Tip Number 1
Network like a pro! Reach out to current employees at Dotdigital on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Personal connections can give you an edge!
✨Tip Number 2
Prepare for the technical interview by brushing up on your skills. Review key concepts in data engineering and machine learning, especially those related to PySpark and Databricks. Practising coding challenges can also help you feel more confident.
✨Tip Number 3
Showcase your passion for innovation! During interviews, share examples of how you've tackled complex problems or implemented new technologies in your previous roles. Dotdigital loves candidates who think outside the box and drive change.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Dotdigital team.
We think you need these skills to ace Machine Learning Engineer Product & Technology · South Africa · in Croydon
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for machine learning and data engineering shine through. We love seeing candidates who are genuinely excited about the role and our mission at Dotdigital!
Tailor Your CV: Make sure to customise your CV to highlight relevant experience that aligns with the job description. We want to see how your skills in PySpark, Databricks, and ML workflows can contribute to our team.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Machine Learning Engineer role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. We can’t wait to hear from you!
How to prepare for a job interview at dotdigital
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python and PySpark. Be ready to discuss your experience with Databricks and how you've built scalable data pipelines in the past. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare examples of complex technical problems you've tackled before. Dotdigital values a proactive mindset, so think about how you’ve influenced cross-team solutions or improved platform standards. This is your chance to shine by demonstrating your engineering leadership!
✨Understand Their Product
Familiarise yourself with Dotdigital’s customer experience and data platform. Knowing how their AI capabilities work and how they help marketers will show your genuine interest in the role and the company. It’ll also help you connect your skills to their needs during the interview.
✨Be Ready for Collaboration Questions
Since collaboration is key at Dotdigital, prepare to discuss how you’ve worked in agile teams before. Think of specific instances where you’ve successfully collaborated with data engineers, data scientists, or product teams to solve business challenges. They’ll be looking for your ability to communicate and work well with others!
