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For Companies At a Glance
- Tasks: Lead data architecture design and mentor a team of data engineers.
- Company: Join OMD EMEA, part of the world's largest media network, focused on better decisions, faster.
- Benefits: Enjoy excellent career opportunities and a collaborative work environment.
- Why this job: Shape the agency's data practices while working with innovative technologies and a high-profile team.
- Qualifications: Experience in data engineering, cloud platforms, and proficiency in Python, SQL, and data modeling.
- Other info: Familiarity with digital media is a plus; creativity and curiosity are essential.
The predicted salary is between 43200 - 72000 £ per year.
About the Role:
This role sits within our Data and Technology team. In this role, you will use your skills to help facilitate our analytical and data-driven approach. Primarily this will involve architecting custom data solutions both for clients as well as the agency.
You will work closely with our team to automate data collection and transformation pipelines, ensuring the highest standard in data integrity. You will also be required to propose best ETL pipeline solutions.
This is an exciting role with excellent career opportunities within a high-profile team and scope to strategically shape the agency. Therefore, we are looking for someone who can hit the ground running, define their work, and drive a new practice area within the overall team. Whilst experience with digital media data isn’t a pre-requisite, it would be extremely beneficial.
Responsibilities:
- Be the leading voice on the core design of data architecture, determine the best way to progress, and lead the team implementing the plan.
- Be available for the team of data engineers as a mentor.
- Take responsibility for the team to mature into a best practices dataops team, as well as driving data literacy across the marketing science team within the data engineering space.
- Be a key stakeholder on our cloud-based infrastructure, providing expertise and recommendations on the best opportunities to innovate and develop the underlying technology.
- Get involved in designing, building and maintaining data pipeline architecture for ELT/ETL.
- Proactively review existing processes to identify opportunities to automate manual processes, optimise data delivery, and re-design infrastructure for greater scalability.
- Collaborate with data scientists, analysts and front-end data visualisation team to identify potential opportunities and maximise the value delivered from data models.
About You:
- Experience as a data engineer working in key disciplines, e.g. data warehousing, Business Intelligence and big data processing.
- Experience working with Google Cloud Platform (preferred, but any other cloud experience e.g. AWS, Azure is also relevant).
- Experience in developing ELT/ETL data pipelines.
- Ability to translate business needs into technical specifications.
- Good knowledge of Python and/or R.
- Good knowledge of SQL.
- Familiar with different data modelling techniques.
- Comfortable using GIT.
- Familiarity with CI/CD principles and tools.
- Some experience of Business Intelligence (BI) tools such as PowerBI, Tableau or QlikView desirable, but not necessary.
- Experience with DBT (Database Build Tool) desirable.
- Knowledge of the digital media industry is necessary.
Qualities:
- Organization – an ability to manage multiple projects at one time with accuracy and speed.
- Curiosity – a natural and persistent inclination to explore, discover, and learn, and a general fascination with analytics.
- Resourcefulness – an ability to look beyond the usual sources and insight opportunities to find a solution when data may be limited.
- Creativity – an ability to think and solve problems in non-linear ways, and an ability to connect dots and craft compelling stories.
- Collaboration – a desire to create a collaborative working environment where the notion of team comes before labels.
About the Agency:
At OMD EMEA, we strive to deliver on our promise of ‘better decisions, faster ‘ for our clients, partners and all 6,000+ OMDers across our region every day. As part of the world’s largest media network, our business is staging experiences for consumers who have more choice and less attention than ever before. The key to the process is empathy. Empathy to see the world through the eyes of the consumer, to recognise the needs of our clients and to identify aspirations of our talent.
Learn Fast, Act Fast. To help navigate the road to a ‘new normal’, learning from, and acting upon data signals at scale and speed is crucial. Visit Why OMD? to learn more about our unique Act Fast Framework.
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Senior Manager, Data Engineering employer: Fuse
Contact Detail:
Fuse Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, Data Engineering
✨Tip Number 1
Familiarize yourself with the latest trends in data engineering, especially around ELT/ETL processes. Being able to discuss recent advancements or case studies during your interview can demonstrate your proactive approach and passion for the field.
✨Tip Number 2
Network with current employees or alumni from your school who work in data engineering roles. They can provide insights into the company culture and expectations, which can help you tailor your approach when discussing your fit for the role.
✨Tip Number 3
Prepare to showcase your experience with cloud platforms, particularly Google Cloud Platform. Be ready to discuss specific projects where you've implemented data solutions, as this will highlight your hands-on experience and technical expertise.
✨Tip Number 4
Demonstrate your collaborative skills by preparing examples of how you've worked with cross-functional teams in the past. Highlighting your ability to communicate effectively with data scientists and analysts will show that you're a team player who can drive results.
We think you need these skills to ace Senior Manager, Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with ELT/ETL pipelines and cloud platforms like Google Cloud Platform. Use specific examples to demonstrate your skills in data architecture and automation.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the agency. Discuss how your background aligns with their needs, especially your experience in data warehousing and collaboration with data scientists and analysts.
Showcase Your Technical Skills: Clearly outline your technical skills in Python, SQL, and any BI tools you are familiar with. Mention your experience with GIT and CI/CD principles, as these are important for the role.
Demonstrate Your Soft Skills: Highlight qualities such as organization, curiosity, and collaboration in your application. Provide examples of how you've managed multiple projects or worked effectively in a team setting to solve complex problems.
How to prepare for a job interview at Fuse
✨Showcase Your Data Architecture Skills
Be prepared to discuss your experience in designing data architecture. Highlight specific projects where you led the design and implementation of data solutions, focusing on how you ensured data integrity and optimized processes.
✨Demonstrate Your Mentorship Abilities
Since this role involves mentoring a team of data engineers, share examples of how you've successfully guided others in their professional development. Discuss your approach to fostering a collaborative environment and driving best practices.
✨Discuss Your Cloud Experience
Make sure to talk about your experience with cloud platforms, especially Google Cloud Platform. Be ready to provide insights into how you've leveraged cloud technologies to innovate and improve data infrastructure.
✨Highlight Your Problem-Solving Skills
Prepare to discuss instances where you've identified opportunities for automation or optimization in data processes. Use specific examples to illustrate your resourcefulness and creativity in overcoming challenges.
