At a Glance
- Tasks: Design and deliver cloud-based data solutions using Salesforce and Google Cloud Platform.
- Company: Award-winning Insight, Analytics and Data team in Central London.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Join a dynamic team and make an impact on innovative marketing transformation projects.
- Qualifications: Experience with Salesforce, SQL, Python, and cloud-based data solutions required.
The predicted salary is between 55000 - 55000 £ per year.
Join an award-winning Insight, Analytics and Data team comprising specialists across data, technology and analytics disciplines. The team has been recognised with numerous industry awards and is dedicated to delivering innovative, data-driven solutions that help businesses maximise the value of their marketing and customer data.
We are looking for an experienced Data Engineer, with this role offering the opportunity to design and deliver cloud-based data solutions that integrate multiple data sources and enable advanced reporting, visualisation and activation capabilities. Working with a new client, it is essential to hold experience with Salesforce and extensive skills with the Google ecosystem.
Working with Google Cloud Platform (GCP), you will build and maintain scalable data environments, transform and model data, and deliver solutions that support marketing effectiveness and business performance. You will also contribute to forward-thinking transformation projects involving artificial intelligence and emerging technologies, helping to develop innovative approaches to data integration, media planning and campaign activation.
Responsibilities:- Managing data integrations with clients, between our own platforms and external 3rd party platforms, data partners and development partners.
- Project management, co-ordinating various stakeholders to make sure the right access is set up, the data is validated and documenting the process and updates clearly and regularly.
- Building/implementing and scaling solutions across clients, enabling data-driven activation and campaign activation.
- Play a key part in enabling clients to fully lean into utilising their data to its full potential, improving the effectiveness of their marketing goals, and helping them gain value.
- Be involved in future-facing marketing transformation projects for the agency and clients.
- Creating and maintaining ELT pipelines to ensure data freshness and accuracy, working with teams to resolve missing data points and build robust and trustworthy data sets.
- Salesforce experience essential.
- Experience in an engineering/developer role with an emphasis on media and marketing data solutions.
- Strong experience and understanding of marketing platforms, metrics and KPIs.
- Industry experience of SQL and Python.
- A track record of implementing cloud-based data solutions.
- The ability to manage projects and processes independently.
- A good understanding of business and marketing performance metrics.
- A good understanding of the ad/mar-tech landscape.
- Excellent interpersonal and communication skills.
- Excellent attention to detail.
- Able to assimilate information quickly and adhere to processes and best practices.
- Highly numerate and able to confidently work with data to identify patterns and inconsistencies.
- Collaborative with strong interpersonal and relationship-building skills, and have the ability to train others.
- Ability to manage workloads across multiple projects.
- Able to communicate clearly and proactively to manage stakeholder expectations.
If you would like to hear more, please do get in touch. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes!
Data Engineer - Salesforce & GCP/Big Query in Slough employer: Datatech Analytics
Join a dynamic and award-winning team in Central London, where innovation meets collaboration. As a Data Engineer, you'll not only work with cutting-edge technologies like Salesforce and Google Cloud Platform but also enjoy a supportive work culture that prioritises employee growth and development. With opportunities to engage in transformative projects and a strong emphasis on data-driven solutions, this role offers a meaningful career path in a vibrant city known for its diverse professional landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Salesforce & GCP/Big Query in Slough
✨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!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer - Salesforce & GCP/Big Query at Datatech Analytics.
✨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 Data Engineer - Salesforce & GCP/Big Query in Slough
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.
