At a Glance
- Tasks: Design and maintain cloud-based data solutions, integrating data from various platforms.
- Company: Join the UK's largest independent media agency with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
- Why this job: Make an impact in data engineering while working with cutting-edge technologies.
- Qualifications: Experience in Data Engineering, strong SQL and Python skills required.
The predicted salary is between 45000 - 55000 £ per year.
Currently working with the UK's largest independent media agency to recruit an experienced Data Engineer to join their award-winning Insight, Analytics & Data team. This is an exciting opportunity to work with one of the industry's most respected agencies, helping to build cutting-edge cloud-based data solutions that enable clients to maximise the value of their marketing and customer data.
You'll play a key role within a specialist Data & Tech Solutions team, designing and maintaining scalable data pipelines, integrating data from multiple marketing platforms, and delivering high-quality data solutions that power reporting, campaign activation and business insights. This is a fantastic opportunity for someone who enjoys working at the intersection of data engineering, cloud technologies and marketing technology.
- Design, build and maintain cloud-based data solutions using Google Cloud Platform (with exposure to AWS and Azure).
- Develop and manage ELT pipelines to ensure accurate, reliable and timely data delivery across multiple client projects.
- Integrate data from advertising platforms, analytics platforms, Salesforce Marketing Cloud, Salesforce CRM and other third-party systems.
- Build scalable data models and databases using Google BigQuery.
- Support the delivery of best-in-class reporting and visualisation solutions using Looker or similar BI tools.
- Manage client data integrations, ensuring correct platform access, validation and documentation throughout delivery.
- Configure and work with APIs to integrate multiple marketing and business data sources.
- Collaborate with internal teams, external partners and clients to deliver innovative data-driven marketing solutions.
- Support AI-driven transformation initiatives and future-facing data projects across the agency.
- Ensure data quality, troubleshoot issues and continuously improve existing engineering processes and workflows.
Requirements:
- Commercial experience in a Data Engineering or Data Developer role.
- Strong SQL and Python programming skills.
- Experience implementing cloud-based data solutions.
- Experience integrating Salesforce Marketing Cloud and Salesforce CRM data.
- Understanding of marketing platforms, campaign metrics and digital marketing KPIs.
- Experience building and maintaining ELT/ETL pipelines.
- Knowledge of APIs and integrating third-party data sources.
- Experience with Looker, Tableau or Power BI.
- Excellent stakeholder management, communication and project management skills.
- Strong organisational skills with excellent attention to detail and the ability to manage multiple projects simultaneously.
Ingegnere dei dati (f/m) in London employer: Datatech Analytics
Datatech Analytics is an exceptional employer located in the vibrant City of London, offering a dynamic work culture that fosters collaboration and innovation. As a Trading Operations Graduate Analyst, you will benefit from comprehensive training and mentorship, ensuring your professional growth while working alongside industry experts in a fast-paced environment. With a commitment to employee well-being and a focus on meaningful contributions to global trading operations, Datatech Analytics provides a rewarding career path for ambitious graduates.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m) in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Datatech Analytics!
✨Show Off Your Projects
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Datatech Analytics.
✨Apply Directly through Our Website
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We think you need these skills to ace Ingegnere dei dati (f/m) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Datatech Analytics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Datatech Analytics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Datatech Analytics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Datatech Analytics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
