At a Glance
- Tasks: Design and maintain data pipelines, develop applications, and ensure smooth data integration.
- Company: Join a forward-thinking company that values your growth and wellbeing.
- Benefits: £5,000 annual development allowance, private healthcare, £100 monthly wellbeing allowance, and 25 days holiday.
- Other info: Hands-on role with excellent career growth opportunities in a dynamic environment.
- Why this job: Make an impact on complex data projects while collaborating with talented professionals.
- Qualifications: Expertise in Python, experience with relational databases, and strong stakeholder communication skills.
The predicted salary is between 36000 - 60000 £ per year.
Defence recruitment specialist - Providing top talent and opportunities.
What we can offer you:
- An annual professional development allowance of £5,000 to support your growth
- Comprehensive wellness support, including private healthcare and a monthly wellbeing allowance of £100
- 25 days paid holiday each year
- Company pension scheme
The role:
We are seeking a skilled Data Engineer to join our team and support the delivery of complex data-driven projects. In this position, you will be responsible for designing and maintaining data pipelines, developing user-facing applications and ensuring smooth integration of data across systems. The role involves working closely with data scientists, analysts, product owners and engineers to capture requirements, deliver end-to-end solutions, and ensure continuity through effective monitoring and scheduling of pipelines. This is a hands-on role where you will contribute directly to the successful delivery of bespoke data solutions tailored to customer needs.
What we want from you:
- Python expertise is a must, with strong ability to design and implement data solutions
- Solid experience working with relational databases and managing structured data
- Familiarity with APIs and their use in retrieving and integrating data
- Proven ability to work with stakeholders, capturing requirements and translating them into technical solutions
- Understanding of data pipeline scheduling, monitoring, and continuity, with exposure to front-end or application development an advantage
Must hold DV level clearance to be suitable for this role.
Interested in this opportunity? Apply today to find out more!
Location: Gloucester, England, United Kingdom
Data Engineer in Hereford employer: Mane Contract Services
Mane Contract Services is an excellent employer, offering a dynamic work environment in Northern Ireland where innovation and collaboration thrive. Employees benefit from a strong focus on professional development, with opportunities to enhance their skills in lean manufacturing and heavy equipment engineering. The company fosters a supportive culture that values teamwork and encourages employees to contribute to meaningful projects that drive efficiency and excellence in manufacturing.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Hereford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python and data pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining your past projects and how you’ve collaborated with teams. Remember, they want to see how you fit into their culture as much as your technical prowess!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Data Engineer in Hereford
Some tips for your application 🫡
Read the Job Description Carefully:Before you start your application, take a good look at the job description. We want to see that you understand what we're looking for in a Data Engineer, so make sure you highlight your relevant skills and experiences.
Show Off Your Python Skills:Since Python expertise is a must for this role, don’t hold back! Share specific examples of projects where you've used Python to design and implement data solutions. We love seeing how you’ve tackled challenges with your coding skills.
Tailor Your Application:Make your application stand out by tailoring it to our needs. Mention your experience with relational databases, APIs, and any front-end development you've done. This shows us you’re not just sending a generic application but are genuinely interested in joining our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Mane Contract Services
✨Know Your Python Inside Out
As a Data Engineer, your Python skills are crucial. Brush up on your knowledge of libraries like Pandas and NumPy, and be ready to discuss how you've used them in past projects. Prepare to solve coding challenges during the interview to showcase your expertise.
✨Familiarise Yourself with Data Pipelines
Understand the end-to-end process of data pipelines. Be prepared to explain how you’ve designed and maintained them in previous roles. Think about specific examples where you ensured data continuity and monitoring, as this will demonstrate your hands-on experience.
✨Communicate with Stakeholders
Since the role involves working closely with various stakeholders, practice articulating how you capture requirements and translate them into technical solutions. Have examples ready that highlight your collaboration with data scientists, analysts, and product owners.
✨Showcase Your Problem-Solving Skills
Be ready to discuss challenges you've faced in previous projects and how you overcame them. This could involve troubleshooting data integration issues or optimising database performance. Highlighting your analytical thinking will impress the interviewers.
