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For Companies At a Glance
- Tasks: Lead data transformation, develop models, and create dashboards to drive insights.
- Company: Join a dynamic team focused on innovation and collaboration in the tech industry.
- Benefits: Enjoy flexible hybrid work, free gym access, chef-prepared meals, and generous holiday options.
- Why this job: Be part of a culture that values mentorship, creativity, and impactful data solutions.
- Qualifications: 5+ years in data engineering with skills in SQL, Python, AWS, and ETL pipelines.
- Other info: Bonus points for iGaming experience and relevant certifications.
The predicted salary is between 48000 - 72000 £ per year.
Are you ready to take your career to the next level? We're looking for a Senior Data Engineer to lead the way in transforming data into actionable insights. If you’re passionate about innovation and thrive in a fast-paced, collaborative environment, this is the role for you!
What you’ll be doing:
- Develop and optimise data models for batch and real-time processing using AWS tools like Redshift, S3, and Kafka.
- Design and maintain ETL pipelines, integrating data from multiple sources (including APIs).
- Analyse customer behaviour and gaming data to deliver actionable insights and boost revenue.
- Create visually compelling dashboards and reports using Tableau.
- Manage and enhance data infrastructure with a focus on scalability and security.
- Mentor junior team members and inspire a culture of innovation and learning.
What you’ll bring:
- 5+ years of data engineering experience, with leadership and mentoring skills.
- Proficiency in SQL, Python, AWS technologies (Redshift, S3, Lambda), and Kafka.
- Expertise in building ETL pipelines and integrating APIs.
- Knowledge of data security and compliance standards.
- Strong problem-solving and communication skills.
- Experience with Tableau or similar visualisation tools.
Bonus skills:
- Familiarity with the iGaming industry.
- Certifications like Certified Data Scientist.
What’s in it for you:
- Competitive salary and benefits package.
- Flexible hybrid work options (work from home on Wednesdays and Fridays).
- Free gym membership and chef-prepared meals.
- 25 holiday days (with options to buy, sell, or roll over).
- Annual bonus scheme with stock units.
- Free parking or a short walk from the train station.
Apply now while it is still available!
Senior Data Engineer employer: Humand
Contact Detail:
Humand Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with AWS tools like Redshift, S3, and Lambda. Being able to discuss your hands-on experience with these technologies during the interview will show that you're not just familiar with them but can also leverage them effectively in your role.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on a personal project or contributing to open-source projects that involve data engineering to demonstrate your proficiency.
✨Tip Number 3
Prepare to discuss your experience with ETL pipelines and API integrations. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will highlight your problem-solving abilities.
✨Tip Number 4
If you have any experience in the iGaming industry, make sure to mention it. This could set you apart from other candidates and show that you understand the unique data challenges in that sector.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering, particularly your proficiency in SQL, Python, and AWS technologies. Emphasise any leadership roles or mentoring experiences you've had, as these are key for the Senior Data Engineer position.
Craft a Compelling Cover Letter: In your cover letter, express your passion for innovation and collaboration. Mention specific projects where you've developed ETL pipelines or created dashboards using Tableau, and how these experiences align with the job requirements.
Showcase Relevant Skills: When detailing your skills, focus on your expertise in building ETL pipelines, integrating APIs, and your knowledge of data security standards. If you have experience in the iGaming industry or relevant certifications, be sure to include those as well.
Prepare for Technical Questions: Anticipate technical questions related to data modelling, AWS tools, and problem-solving scenarios. Be ready to discuss your previous work and how you approached challenges in data engineering, as this will demonstrate your capability for the role.
How to prepare for a job interview at Humand
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and AWS technologies in detail. Bring examples of projects where you've developed ETL pipelines or worked with data models, as this will demonstrate your hands-on expertise.
✨Demonstrate Leadership and Mentoring
Since the role involves mentoring junior team members, be ready to share your experiences in leadership. Discuss how you've inspired innovation and learning within your previous teams, highlighting specific instances where you made a positive impact.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to data analysis and infrastructure management. Think of scenarios where you've tackled complex data challenges and be ready to explain your thought process.
✨Familiarise Yourself with the iGaming Industry
If you have any knowledge or experience in the iGaming industry, make sure to mention it during the interview. This could set you apart from other candidates and show your enthusiasm for the sector.
