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- Tasks: Build and maintain scalable data infrastructure for innovative marketing solutions.
- Company: Join Channel Factory, a leading tech startup revolutionising video advertising.
- Benefits: Competitive salary, comprehensive medical benefits, and work-life flexibility.
- Why this job: Make a real impact in the fast-paced world of digital marketing.
- 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 programmes 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 startâup 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 highâimpact 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 wellâdesigned 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 awardâwinning marketing technology company that helps top global brands and agencies maximize YouTube advertising. Recognized as a technology innovator by Cynopsis and one of the fastestâgrowing companies by Inc., Channel Factory has served over three hundred of the Fortune 500 in delivering scalable, brandâsafe, 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 industryâleading 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 largeâscale, efficient batch and streaming data processing pipelines.
- Strong SQL proficiency, with experience in both transactional RDBMS systems and distributed systems.
- Expertâlevel proficiency in Python.
- Inâdepth experience with distributed data technologies: RabbitMQ, Celery, Pyspark.
- Inâdepth 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 inâperson 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.
- Workâlife flexibility â we value your contributions above all.
Data Software Engineer - Media Buying Engineering in London employer: Channel Factory LLC
Contact Detail:
Channel Factory LLC Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Software Engineer - Media Buying Engineering in London
â¨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
â¨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your data projects. Itâs a great way to demonstrate your expertise beyond the usual application.
â¨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. We want you to feel confident and ready to impress!
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data Software Engineer - Media Buying Engineering in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your data engineering experience, especially with scalable data pipelines and technologies like Python and AWS.
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 mission. Share specific examples of past projects that demonstrate your problem-solving skills and ability to collaborate.
Showcase Your Technical Skills: Donât shy away from listing your technical proficiencies. We want to see your expertise in SQL, RabbitMQ, and any other relevant tools. If you've worked with Data Lakehouse technologies, make sure to mention that too!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for this exciting opportunity at Channel Factory!
How to prepare for a job interview at Channel Factory LLC
â¨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially in Python and SQL. Be ready to discuss your experience with building scalable data pipelines and how you've tackled challenges in previous roles. Prepare specific examples that showcase your expertise in distributed data technologies like RabbitMQ and Pyspark.
â¨Understand the Companyâs Mission
Channel Factory is all about contextual safety and performance in marketing. Familiarise yourself with their platform and how it integrates with YouTube and other channels. Showing that you understand their mission will demonstrate your genuine interest in the role and how you can contribute to their goals.
â¨Prepare for Collaboration Questions
Since this role involves working with distributed teams across different time zones, be ready to discuss your experience in collaboration. Think of examples where youâve successfully worked with remote teams or managed complex projects, highlighting your communication skills and ability to foster team cohesion.
â¨Showcase Your Problem-Solving Skills
Channel Factory values pragmatic problem-solving. Prepare to discuss specific instances where youâve had to think critically and come up with innovative solutions in your past roles. This could involve anything from data quality checks to creating data governance policiesâmake sure you have concrete examples ready!
