At a Glance
- Tasks: Design data models, build ETL pipelines, and create engaging dashboards with Tableau.
- Company: Join a forward-thinking company that values diversity and inclusion in the workplace.
- Benefits: Enjoy flexible hybrid work, free gym membership, chef-prepared meals, and generous holiday days.
- Why this job: Make a real impact by turning raw data into insights that drive business decisions.
- Qualifications: No specific qualifications required; just a passion for data and a willingness to learn.
- Other info: Opportunities to mentor others and develop leadership skills for future management roles.
The predicted salary is between 36000 - 60000 £ per year.
Are you ready to level up your career and work on projects that really matter? Get stuck into using the latest AWS tools like Redshift, S3, and Kafka. You will be designing data models and building ETL pipelines, which means you are always learning something new and adding valuable skills to your toolkit.
- By turning raw data into clear insights, you will help shape decisions that drive the business forward. It is a great feeling to know that what you do matters.
- Step Up Your Leadership Game: With opportunities to mentor junior team members, you will be building leadership skills that can set you up for future management roles. Sharing your knowledge and helping others grow is not only rewarding but also a fantastic boost to your career.
- Whether you are creating engaging dashboards with Tableau or integrating data from different sources via APIs, you will always have fresh challenges that keep your work interesting.
- Enjoy flexible hybrid working options, free gym membership, chef-prepared meals, and plenty of holiday days so you can maintain a healthy work life balance.
- Build and fine tune data models for both batch and real time processing.
- Design and maintain robust ETL pipelines that pull data from multiple sources.
- Analyse data to uncover trends that guide key business decisions.
- Create clear, engaging dashboards and reports using Tableau.
- Enhance our data infrastructure with a focus on scalability and security.
- Mentor and support junior team members, helping everyone to learn and grow.
Diversity and Inclusion: We are committed to creating a welcoming environment for everyone regardless of gender, race, religion or belief, disability, age, pregnancy and maternity, marriage and civil partnership, sexual orientation, or gender reassignment. It is a chance to build a bright future for yourself, work on projects that keep you engaged, and join a team that values your growth as much as its own success.
Data/ Tableau Engineer employer: Humand Talent
Contact Detail:
Humand Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data/ Tableau Engineer
✨Tip Number 1
Familiarise yourself with AWS tools like Redshift, S3, and Kafka. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions with us.
✨Tip Number 2
Showcase your ability to create engaging dashboards using Tableau. Prepare a portfolio of your previous work that highlights your skills in data visualisation and storytelling with data.
✨Tip Number 3
Be ready to discuss your experience with ETL processes and data modelling. We love candidates who can articulate their approach to building robust pipelines and how they ensure data quality.
✨Tip Number 4
Demonstrate your leadership potential by sharing examples of how you've mentored others or contributed to team growth. We value collaboration and want to see how you can help elevate our team.
We think you need these skills to ace Data/ Tableau Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with AWS tools, data modelling, and ETL pipelines. Use specific examples that demonstrate your skills in creating dashboards with Tableau and analysing data.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with the company's goals. Mention your leadership experience and willingness to mentor others, as this is a key aspect of the position.
Showcase Your Projects: If you have worked on any relevant projects, include them in your application. Describe the challenges you faced, the solutions you implemented, and the impact your work had on the business.
Highlight Soft Skills: Don't forget to mention your soft skills, such as communication and teamwork. These are important for mentoring junior team members and collaborating effectively within the team.
How to prepare for a job interview at Humand Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS tools like Redshift, S3, and Kafka. Highlight specific projects where you've designed data models or built ETL pipelines, as this will demonstrate your hands-on expertise.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle real-world data challenges. Think about examples where you've turned raw data into insights or created engaging dashboards with Tableau, and be ready to explain your thought process.
✨Emphasise Leadership and Mentoring Experience
Since the role involves mentoring junior team members, share any relevant experiences where you've guided others. Discuss how you approach leadership and the impact it has had on your team’s success.
✨Demonstrate Your Passion for Continuous Learning
Express your enthusiasm for learning new technologies and methodologies. Mention any recent courses or certifications you've completed, especially those related to data analysis or visualisation, to show you're committed to professional growth.