At a Glance
- Tasks: Build and maintain data pipelines for top global brands in digital marketing.
- Company: Join VML MAP, a leader in personalised customer experiences and innovative data solutions.
- Benefits: Competitive salary, diverse team culture, and opportunities for professional growth.
- Why this job: Make a real impact on marketing strategies using cutting-edge technology and analytics.
- Qualifications: Strong SQL skills, experience with cloud platforms, and knowledge of Adobe tools.
- Other info: Collaborative environment with a focus on innovation and career development.
The predicted salary is between 36000 - 60000 Β£ per year.
Are you a Senior Data Engineer (martech focused) with a passion to build, support & maintain digital marketing solutions that offers 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 weβre 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 β even to non-experts β 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).
- 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.
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: VML group
Contact Detail:
VML group Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Martech Data Engineer
β¨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at VML MAP or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
β¨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your expertise in data engineering, especially with tools like SQL, Spark, and cloud platforms. This will give you a leg up during interviews and showcase your hands-on experience.
β¨Tip Number 3
Be ready to discuss real-world problems! Think about challenges you've faced in previous roles and how you solved them. This will demonstrate your consultancy mindset and problem-solving skills, which are key for the Senior Data Engineer role.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at VML MAP.
We think you need these skills to ace Senior Martech Data Engineer
Some tips for your application π«‘
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your expertise in martech, cloud platforms, and data pipelines to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Share specific examples of your past work that relate to the job description.
Showcase Your Technical Skills: Donβt hold back on showcasing your technical prowess! Mention your experience with SQL, Spark, Python, and any relevant tools like Google Dataflow or Airflow. We love seeing those skills in action!
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, itβs super easy!
How to prepare for a job interview at VML group
β¨Know Your Tech Stack
Make sure youβre well-versed in the technologies mentioned in the job description, especially Adobe Experience Platform and SQL. Brush up on your Spark, Python, and Scala skills, as these will likely come up during technical discussions.
β¨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Highlight your experience with ETL processes and how you've ensured data quality in previous roles. This will demonstrate your analytical mindset and ability to adapt.
β¨Understand the Business Context
Familiarise yourself with the companyβs focus on hyper-personalisation and CRM. Be ready to explain how your technical skills can directly support their business initiatives, especially in audience creation and reporting needs.
β¨Communicate Clearly
Practice explaining complex technical concepts in simple terms. Youβll be working with non-experts, so being able to communicate effectively is key. Use examples from your past experiences to illustrate your points.