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- Tasks: Build and optimise data pipelines for top global brands in digital marketing.
- Company: Join VML MAP, a leader in personalised customer experiences and innovative tech solutions.
- Benefits: Competitive salary, diverse team culture, and opportunities for career growth.
- Why this job: Make a real impact by solving complex challenges in media analytics.
- Qualifications: Strong SQL skills, experience in data engineering, and knowledge of Adobe platforms.
- Other info: Collaborate with a dynamic team of experts from various fields.
The predicted salary is between 43200 - 72000 £ per year.
Are you a Senior Data Engineer (martech focused) with a passion to build, support & maintain digital marketing solutions that offer real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!
What will your day look like? As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:
- Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
- Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
- Build monitoring procedures & tools to ensure solid ETL flows and data quality.
- Design processes and tools to correct ETL incidents.
- Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives, especially regarding audience creation and reporting needs.
- Consult our data analytics teams to ensure best practices on the technical use of data are followed.
- Design data architectures and collaborate in data migrations in cloud environments.
Who are you going to work with? You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.
What do you bring to the table? As a person, you possess a strong consultancy mindset, demonstrating resilience, curiosity, and an eager-to-learn attitude. You combine this with strong business acumen, allowing you to understand and anticipate client needs effectively. You are a team player with an open-minded approach, able to communicate complex ideas and technical topics honestly and clearly – even to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas, solving problems in an analytical and pragmatic manner. You have also worked effectively within Agile project methodologies.
Moreover, it is essential for this role that you have:
- In-depth knowledge of the Adobe Experience Platform (AEP), including familiarity with schemas, datasets, and practical experience in audience creation.
- Basic knowledge of Adobe Customer Journey Analytics (CJA) and Adobe Journey Optimizer (AJO).
- Experience in data engineering, big data, business intelligence, or data science.
- Very strong SQL query skills, this role is primarily focused on large-scale data querying and transformation.
- Experience in Spark, Python, Scala.
- A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
- Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice).
- Expertise in managing databases, including performance tuning, backup, and recovery.
- Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation.
- Ability to generate a few end reports based on data analysis and stakeholder requirements.
- Understanding of version control tools like GitHub for managing changes related to data models and transformations.
- Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security.
- Knowledge of Kubernetes would be an advantage.
A leader in personalized customer experiences, VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper-personalization at scale, marketing automation, and CRM. With the brain of a consultancy, the heart of an agency, and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000+ technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.
A global network, we are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.
Equal Opportunity Employer: WPP (VML MAP) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Senior Martech Data Engineer employer: Wunderman
Contact Detail:
Wunderman Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Martech Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in martech. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with data pipelines, cloud platforms, and any cool projects you've worked on. Let them see how you can add value to their team.
✨Tailor Your Approach
Before any interview, do your homework! Understand the company’s needs and how your skills in data engineering and analytics can help them achieve their goals. This shows you're not just another candidate; you're the right fit.
✨Apply Through Us!
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Martech Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Martech Data Engineer role. Highlight your expertise in data engineering, cloud platforms, and any relevant tools like SQL and Python. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about digital marketing solutions and how your consultancy mindset can help us tackle complex challenges. Be genuine and let your personality come through!
Showcase Your Projects: If you've worked on any relevant projects, don’t hesitate to include them! Whether it's building data pipelines or optimising ETL processes, we love seeing real examples of your work. This helps us understand your hands-on experience and problem-solving skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Wunderman
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Adobe Experience Platform and SQL. Brush up on your knowledge of data pipelines and cloud environments like GCP, AWS, or Azure. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experiences where you've tackled complex data challenges. Highlight how you’ve built data models or optimised ETL processes. This will demonstrate your analytical mindset and ability to adapt to changing situations, which is crucial for this role.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll be working with non-experts, so being able to communicate complex ideas clearly is key. Use examples to illustrate your points and ensure everyone understands your thought process.
✨Emphasise Team Collaboration
This role involves working closely with various teams, so be prepared to discuss your experience in collaborative environments. Share instances where you’ve worked with data scientists, analysts, or product owners to achieve a common goal. This will highlight your team player attitude and consultancy mindset.