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- Tasks: Build and maintain scalable data infrastructure for analytics and business intelligence.
- Company: Join Channel Factory, a leading marketing tech startup transforming video ad operations.
- Benefits: Enjoy competitive salary, comprehensive medical benefits, and work-life flexibility.
- Why this job: Make a real impact in a high-demand industry with innovative technology.
- Qualifications: 3+ years in data engineering, strong SQL and Python skills required.
- Other info: Collaborative culture with opportunities for growth and travel.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Channel Factory provides intelligent marketing solutions for the next generation of contextual safety, suitability, and performance for brands and agencies. Our platform helps marketers implement, automate, and scale their marketing programs across the world’s largest video library, YouTube and emerging growth channels. We sit at the intersection of marketing and suitability and have a mission of enabling the world’s top brands to consciously connect with the right audience in the right context, maximizing suitability and contextual performance.
Channel Factory embodies a strong start‑up culture that values diversity, collaboration, and results. Our bias towards execution balances critical thinking, analysis, and pragmatic problem solving. We expect a lot from one another and value our thoughtful and intellectually curious company culture.
Channel Factory is in search of an innovative and dedicated Senior Data Engineer to join our growing team that will lead, build, and maintain scalable data infrastructure that powers our analytics and business intelligence initiatives. This is a high‑impact role where you will play a pivotal part in evolving our core data infrastructure.
Responsibilities
- Collaborate with product managers and business stakeholders to understand complex business requirements to translate business needs into well‑designed and maintainable solutions.
- Ensure data quality and reliability by implementing robust data quality checks, monitoring, and alerting to ensure the accuracy and timeliness of all data pipelines.
- Create data governance policies and develop data models and schemas optimized for analytical workloads.
- Influence the direction for key infrastructure and framework choices for data pipelining and data management.
- Manage complex initiatives by setting project priorities, deadlines, and deliverables.
- Collaborate effectively with distributed team members across multiple time zones, including offshore development teams.
- Build relationships and foster team cohesion across geographical and cultural boundaries.
- All other tasks as required.
About Channel Factory
Founded in 2010, Channel Factory is an award‑winning marketing technology company that helps top global brands and agencies maximize YouTube advertising. Recognized as a technology innovator by Cynopsis and one of the fastest‑growing companies by Inc., Channel Factory has served over three hundred of the Fortune 500 in delivering scalable, brand‑safe, contextually aligned YouTube advertising software and services. By tapping into the deepest proprietary data pool on the market, the company enables highly customized, contextually aware, and dynamically optimized campaigns and provides industry‑leading performance for a portfolio of clients across all industries.
Qualifications
- 3+ years of experience in data engineering or related roles, with a proven track record of building and maintaining scalable data pipelines in production.
- Experience designing and developing large‑scale, efficient batch and streaming data processing pipelines.
- Strong SQL proficiency, with experience in both transactional RDBMS systems and distributed systems.
- Expert‑level proficiency in Python.
- In‑depth experience with distributed data technologies: RabbitMQ, Celery, Pyspark.
- In‑depth experience with AWS data services (ECS, EC2, Glue, OpenSearch, RDS).
- Experience with modern Data Lakehouse technologies such as Apache Iceberg, S3 Tables, StarRocks.
- Knowledge of digital advertising is a plus.
- Experience integrating data science based models and algorithms.
This role may involve occasional travel for in‑person collaboration, meetings, trainings, etc.
Benefits
- Work with a leading startup in a high-demand industry, and you would be working with like-minded experts aiming to transform video ad operations.
- Competitive salary.
- Comprehensive medical benefits (Medical, Vision, Dental, and Life Insurance).
- Cell phone and Wifi Reimbursement.
- Bill Spend Stipend.
- Gym Stipend.
- Work‑life flexibility – we value your contributions above all.
Data Software Engineer - Media Buying Engineering in England employer: Channel Factory LLC
Contact Detail:
Channel Factory LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Software Engineer - Media Buying Engineering in England
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects. This gives potential employers a taste of what you can do, especially for a data software engineer role.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 awesome team!
We think you need these skills to ace Data Software Engineer - Media Buying Engineering in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Software Engineer role. Highlight your experience with data pipelines, SQL, and any relevant technologies like AWS or Python. We want to see how your skills match 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 mission at Channel Factory. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any cool projects related to data engineering, make sure to mention them! Whether it's building scalable data pipelines or using modern technologies, we love seeing real-world applications of your 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 shows you're keen on joining our team!
How to prepare for a job interview at Channel Factory LLC
✨Know Your Data Inside Out
Make sure you’re well-versed in the data technologies mentioned in the job description, like SQL, Python, and AWS services. Brush up on your experience with RabbitMQ, Celery, and Pyspark, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data engineering challenges. Think about how you’ve designed scalable data pipelines or implemented data quality checks, and be ready to explain your thought process and the impact of your solutions.
✨Understand the Business Context
Familiarise yourself with Channel Factory’s mission and the role of data in marketing solutions. Be prepared to discuss how your work can contribute to their goals of contextual safety and performance, showing that you understand the bigger picture beyond just the technical aspects.
✨Build Rapport with the Team
Since collaboration is key, think about how you can demonstrate your ability to work effectively with distributed teams. Share experiences where you’ve successfully collaborated across time zones or cultural boundaries, highlighting your communication skills and adaptability.
