Senior Data Engineer

Senior Data Engineer

Full-Time 43200 - 72000 £ / year (est.) No working from home possible
Annalect

At a Glance

  • Tasks: Lead a dynamic team in designing and managing innovative data engineering solutions.
  • Company: Join Omnicom Media Group, a leader in marketing intelligence and reporting.
  • Benefits: Enjoy flexible working hours, hybrid model, and a supportive culture.
  • Other info: Embrace diversity and inclusion in a collaborative environment.
  • Why this job: Make an impact by driving innovation in data engineering across global clients.
  • Qualifications: 5+ years in data engineering, leadership experience, and cloud platform expertise required.

The predicted salary is between 43200 - 72000 £ per year.

We are seeking a Lead Data Engineer to join our Marketing Intelligence & Reporting team, responsible for overseeing our data engineering function and its associated workstreams across Omnicom’s global client portfolio. The ideal candidate will possess a strong technical background in the data engineering sector, with proven expertise in the collection, processing, and analysis of large-scale media datasets. Experience in designing, deploying, and managing data warehouses on cloud platforms is essential. This is an excellent opportunity for someone keen to collaborate with both regional and global clients, and to drive best practices and product innovation across our network of agencies.

Responsibilities

  • Engage, upskill and nurture the Data Engineering team to drive and foster a high engagement culture.
  • Be the key voice on the core design of our data engineering product and data architecture whilst leading the team to implement the plan.
  • Be a key stakeholder on our cloud-based infrastructure, providing expertise and recommendations on the best opportunities to innovate, adhere to best practices and develop the underlying technology.
  • Work with the BI team to design functional standardised data solutions that can be rolled out across Annalect EMEA’s clients.
  • Lead in designing, building and maintaining data pipeline architecture for ELT/ETL.
  • Explore the use of AI within our data engineering solutions.
  • Participate in running a community of data engineering specialists across the EMEA region.
  • Contributing to pitch content and scope for new work and solutions for prospective and current clients.

Skills & Experience

  • 5+ years’ experience in data engineering teams, ideally in a global or fast-paced environment.
  • 2+ years’ experience leading data engineering teams.
  • 5+ years’ experience with modern data platforms in the cloud. Experience with Google Cloud Platform is preferred, Microsoft Azure or AWS will also be considered.
  • 5+ years’ experience in designing and implementing data architecture, ETL/ELT processes, and DevOps pipelines (including Docker, CI/CD, etc).
  • 6+ years working with SQL and Python.
  • 2+ years working with dbt, using advanced macros and templating.
  • Knowledge of the media industry is essential.
  • Ability to translate business requirements into technical specifications and communicate these to various stakeholders.
  • Ability to manage Git repositories and use the GitFlow Workflow, ideally through GitLab, and deployments into production environments.

Flexible Working

At Omnicom Media Group, we are committed to supporting flexibility for our people while fostering collaboration, innovation, and teamwork. We have a hybrid working model (three days in the office, two working remotely), to ensure that we meet the needs of both our people and our business, balancing the benefits of in-person connections with the flexibility of remote working. Our standard working hours are 9:30 – 17:30, but we offer the ability to flex around core hours of 10:30 – 16:30 to give our people flexibility on how they manage their working day, whether that’s in the office or working remotely.

Be Your Best

We want everyone to make the most of the opportunity to shine and showcase your talents and we are happy to make adjustments in the recruitment process so you can be your best. Please discuss any specific requirements with your dedicated Talent Team member or if you would feel more comfortable, you can email us confidentially at beyourbest@omnicommediagroup.com to let us know how we can support you.

Diversity, Equity & Inclusion at OMG

At OMG, our vision is to be an agency where difference is valued and everyone is able to thrive in a culture of equality, inclusion and belonging. We are committed to providing a truly inclusive environment that reflects today’s society, where everyone is able to bring their true selves to work, and where diverse voices and backgrounds are valued, heard, and well-represented.

Senior Data Engineer employer: Annalect

At Omnicom Media Group, we pride ourselves on being an exceptional employer that champions flexibility, collaboration, and innovation. Our hybrid working model allows for a balanced approach to work-life integration, while our commitment to diversity, equity, and inclusion ensures that every employee feels valued and empowered to thrive. With ample opportunities for professional growth and a supportive culture, we are dedicated to helping our team members excel in their careers and make meaningful contributions to our global client portfolio.

Annalect

Contact Details:

Annalect Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer

Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. A friendly chat can lead to referrals or insider info about job openings.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud platforms and data architecture. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past experiences with SQL, Python, and ETL processes clearly and confidently.

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 our team!

We think you need these skills to ace Senior Data Engineer

Data Engineering
Cloud Platforms
Google Cloud Platform
Microsoft Azure
AWS
Data Architecture
ETL/ELT Processes

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data architecture, cloud platforms, and any leadership roles you've held. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our Marketing Intelligence & Reporting team. Be sure to mention any relevant projects or achievements.

Showcase Your Technical Skills:Don’t forget to highlight your technical expertise in SQL, Python, and cloud platforms like Google Cloud. We love seeing specific examples of how you've used these skills in past roles, so be detailed!

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 shows you’re keen on joining our team!

How to prepare for a job interview at Annalect

Know Your Data Engineering Stuff

Make sure you brush up on your technical skills, especially around data architecture, ETL/ELT processes, and cloud platforms like Google Cloud. Be ready to discuss your past projects and how you've tackled challenges in data engineering.

Showcase Your Leadership Skills

Since this role involves leading a team, be prepared to share examples of how you've engaged and nurtured your team in the past. Highlight any initiatives you've taken to foster a high engagement culture and how you’ve driven best practices.

Communicate Clearly with Stakeholders

Practice translating complex technical concepts into simple terms. You’ll need to communicate effectively with various stakeholders, so think of examples where you’ve successfully bridged the gap between technical and non-technical teams.

Be Ready to Innovate

The company is looking for someone who can drive product innovation. Think about how you've used AI or other cutting-edge technologies in your previous roles. Prepare to discuss your ideas on how to innovate within data engineering solutions.