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- Tasks: Manage and optimize data systems while extracting actionable insights.
- Company: Join Acquirz, a leader in innovative email marketing for top UK brands.
- Benefits: Enjoy hybrid work, competitive salary, bonuses, and professional growth opportunities.
- Why this job: Make an impact in a fun, collaborative culture with diverse projects.
- Qualifications: Bachelor’s degree in Data Science or related field; experience in SQL, Python, and data visualization.
- Other info: Free onsite parking and equity opportunities for long-term employees.
The predicted salary is between 25000 - 40000 ÂŁ per year.
Data Engineer/Data Analyst | Cheltenham | Hybrid Working Available | Full Time | ÂŁ25,000-ÂŁ40,000 Dependent on Experience
Are you a talented professional with a passion for both Data Engineering and Data Analysis?
Acquirz is seeking a versatile individual to join our innovative team. This hybrid role is your chance to manage and optimise data systems while extracting actionable insights that drive strategic decision-making.
At Acquirz, we use cutting-edge email marketing techniques to generate leads and build demand for some of the UK’s largest enterprises and national brands. We’re more than just market leaders; we’re a team that values collaboration, innovation, and a fun, balanced work culture.
Are you the right person for the job?
- Bachelor’s degree in Data Science, Computer Science, or a related field
- Experience in both Data Engineering and Analysis roles
- Proficiency in SQL, Python, and data visualisation tools
- Familiarity with cloud platforms is a plus
- Strong analytical and problem-solving skills
- Excellent communication to bridge technical and non-technical teams
- Proactive mindset and ability to manage multiple priorities
What will your role look like?
Data Engineering Responsibilities
- Oversee data collection, storage, and integration across platforms
- Optimise and automate data systems and pipelines for maximum efficiency
- Ensure data integrity, security, and compliance with regulations
- Work with programming languages like Python and SQL and cloud platforms such as AWS, Azure, or Google Cloud
Data Analysis Responsibilities
- Extract trends and insights from large datasets to support business strategies
- Create dashboards and visualisations using Tableau, Power BI, or QlikView
- Present actionable findings to stakeholders to inform key decisions
What can you expect in return?
- A chance to make an impact on diverse projects in a fast-growing industry
- Opportunities for professional growth and career advancement
- A competitive salary and comprehensive benefits package
- Free onsite parking
- Hybrid working options
- Annual Company Performance Bonus – ÂŁ10,000
- Pension scheme & medical cover
- Training, development, & progression opportunities
- Equity opportunities for long-term employees
- Company laptop provided
Due to high application volumes, if you have not heard from us within five working days, please assume your application was unsuccessful at this time.
What’s next? It’s easy! Click “APPLY” now! We can’t wait to hear from you!
Data Engineer/Data Analyst employer: Talent Finder Jobs
Contact Detail:
Talent Finder Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer/Data Analyst
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, and data visualization tools like Tableau or Power BI. Being able to discuss your experience with these tools during an interview will show that you're a strong fit for the role.
✨Tip Number 2
Highlight any previous experience you have with cloud platforms like AWS, Azure, or Google Cloud. If you have worked on projects that involved data collection, storage, or integration using these platforms, be ready to share those examples.
✨Tip Number 3
Prepare to demonstrate your analytical and problem-solving skills through real-world examples. Think of situations where you extracted insights from large datasets and how those insights influenced business decisions.
✨Tip Number 4
Since communication is key in this role, practice explaining complex technical concepts in simple terms. This will help you bridge the gap between technical and non-technical teams, which is crucial for success at Acquirz.
We think you need these skills to ace Data Engineer/Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in both Data Engineering and Data Analysis. Emphasize your proficiency in SQL, Python, and any data visualization tools you've used.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and how your skills align with the responsibilities outlined in the job description. Mention specific projects or experiences that demonstrate your analytical and problem-solving abilities.
Showcase Relevant Skills: In your application, clearly outline your familiarity with cloud platforms and any relevant programming languages. This will help you stand out as a candidate who can manage and optimize data systems effectively.
Highlight Communication Skills: Since the role requires bridging technical and non-technical teams, make sure to mention any experiences where you've successfully communicated complex data insights to diverse audiences.
How to prepare for a job interview at Talent Finder Jobs
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and data visualization tools. Bring examples of projects where you've successfully utilized these skills, as this will demonstrate your technical proficiency.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical and problem-solving skills. Prepare to share specific instances where you identified a problem, analyzed data, and implemented a solution that had a positive impact.
✨Communicate Effectively
Since the role requires bridging technical and non-technical teams, practice explaining complex data concepts in simple terms. This will show your ability to communicate effectively with diverse stakeholders.
✨Highlight Your Proactive Mindset
Discuss how you manage multiple priorities and take initiative in your work. Share examples of how you've optimized processes or contributed to team projects, showcasing your proactive approach.
