At a Glance
- Tasks: Lead the design and implementation of innovative data systems using cutting-edge technologies.
- Company: Join Dotdigital, a vibrant global community focused on innovation and teamwork.
- Benefits: Enjoy flexible work culture, competitive salary, and comprehensive health benefits.
- Why this job: Make a real impact by shaping the future of data platforms and driving meaningful change.
- Qualifications: Extensive experience in Python, SQL, and modern data processing tools required.
- Other info: Collaborative environment with opportunities for personal and professional growth.
The predicted salary is between 43200 - 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 are on the lookout for a Principal Data Engineer to help define and lead the next generation of our data platform and data capabilities. You’ll play a key role in building scalable, resilient and intelligent data systems that power real-time services, insights, products and decisions across Dotdigital. As a Principal Data Engineer, you will be instrumental in driving the architecture, development and delivery of our data platform. You will lead key initiatives, provide technical direction and collaborate with product, analytics and data science teams to ensure data value is realised across the entire ecosystem. Working across the entire data lifecycle, you will help shape how data is collected, processed and consumed across Dotdigital.
Responsibilities
- Lead the design and implementation of scalable, secure and resilient data systems across streaming, batch and real-time use cases.
- Architect data pipelines, model and storage solutions that power analytical and product use cases; using primarily Python and SQL via orchestration tooling that run workloads in the cloud.
- Leverage AI to automate both data processing and engineering processes.
- Assure and drive best practices relating to data infrastructure, governance, security and observability.
- Work with technologists across multiple teams to deliver coherent features and data outcomes.
- Support the data team to help adopt data engineering principles.
- Identify, validate and promote new tools and technologies that improve the performance and stability of data services.
About You
Technical Expertise
- Extensive experience delivering python-based projects in the data engineering space.
- Extensive experience working with SQL and NoSQL database technologies (e.g. SQL Server, MongoDB & Cassandra).
- Proven experience with modern data warehousing and large-scale data processing tools (e.g. Snowflake, DBT, BigQuery, Clickhouse).
- Hands on experience with data orchestration tools like Airflow, Dagster or Prefect.
- Experience using cloud environments (e.g. Azure, AWS, GCP) to process, store and surface large scale data.
- Experience using Kafka or similar event-based architectures (e.g. Pub/Sub via AWS SQS, Azure EventHubs, AWS Kinesis).
- Strong grasp of data architecture and data modelling principles for both OLAP and OLTP workloads.
- Capable in the wider software development lifecycle in terms of agile ways of working and continuous integration/deployment of data solutions.
Engineering Leadership
- Experience as a lead or Principal Engineer on large-scale data initiative or product builds.
- Demonstrated ability to architect data systems and data structures for high volume, high throughput systems.
- Proven experience leading data platform modernisation or cloud migration projects.
- Comfortable taking ownership of difficult data problems and driving them to resolution.
Bonus
- Experience using ClickHouse as part of a data pipeline and analytics solution.
- 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 have 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 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.
Principal Data Engineer in London employer: dotdigital
Contact Detail:
dotdigital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer in London
✨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 the interview process. This can give you insider knowledge and make you stand out.
✨Tip Number 2
Prepare for your technical interview by brushing up on your Python and SQL skills. Work on some real-world data problems or projects that showcase your expertise. Being able to discuss your hands-on experience will impress the hiring team.
✨Tip Number 3
Showcase your leadership skills! Be ready to discuss past projects where you took charge, especially in data engineering. Dotdigital values ownership, so highlight how you’ve driven initiatives and solved complex problems.
✨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 Dotdigital community. Good luck!
We think you need these skills to ace Principal Data Engineer in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for 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 your relevant experience with Python, SQL, and any cloud environments you've worked in. We want to see how your skills align with what we’re looking for!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills at a glance.
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 Principal Data Engineer role.
How to prepare for a job interview at dotdigital
✨Know Your Data Inside Out
As a Principal Data Engineer, you'll need to demonstrate your expertise in Python, SQL, and various data technologies. Brush up on your knowledge of data pipelines, orchestration tools, and cloud environments. Be ready to discuss specific projects where you've successfully implemented these skills.
✨Showcase Your Leadership Skills
Since the role involves leading initiatives and collaborating with multiple teams, be prepared to share examples of how you've taken ownership of complex data problems. Highlight your experience in guiding teams through data platform modernisation or cloud migration projects.
✨Prepare for Technical Questions
Expect technical interviews to dive deep into your understanding of data architecture and modelling principles. Review key concepts related to OLAP and OLTP workloads, and be ready to explain how you've applied these in real-world scenarios. Practice articulating your thought process clearly.
✨Emphasise Collaboration and Curiosity
Dotdigital values teamwork and a growth mindset. During the interview, express your enthusiasm for collaboration and knowledge sharing. Share instances where you've worked with cross-functional teams to achieve data-driven outcomes, showcasing your ability to foster meaningful connections.