At a Glance
- Tasks: Design and maintain data pipelines using Hadoop technologies in a hybrid work environment.
- Company: Join a forward-thinking company focused on enhancing operational data platforms.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Work in a collaborative environment with a focus on security and compliance.
- Why this job: Be part of a dynamic team driving innovation in data engineering and analytics.
- Qualifications: 5+ years in Hadoop and data engineering with strong Python skills required.
The predicted salary is between 48000 - 72000 € per year.
Role Title: Hadoop Engineer / ODP Platform
Location: Birmingham / Sheffield - Hybrid working with 3 days onsite per week
End Date: 28/11/2025
Role Overview:
We are seeking a highly skilled Hadoop Engineer to support and enhance our Operational Data Platform (ODP) deployed in an on-premises environment.
The ideal candidate will have extensive experience in the Hadoop ecosystem, strong programming skills, and a solid understanding of infrastructure-level data analytics. This role focuses on building and maintaining scalable, secure, and high-performance data pipelines within enterprise-grade on-prem systems.
Key Responsibilities:
- Design, develop, and maintain data pipelines using Hadoop technologies in an on-premises infrastructure.
- Build and optimise workflows using Apache Airflow and Spark Streaming for real-time data processing.
- Develop robust data engineering solutions using Python for automation and transformation.
- Collaborate with infrastructure and analytics teams to support operational data use cases.
- Monitor and troubleshoot data jobs, ensuring reliability and performance across the platform.
- Ensure compliance with enterprise security and data governance standards.
Required Skills & Experience:
- Minimum 5 years of experience in Hadoop and data engineering.
- Strong hands-on experience with Python, Apache Airflow, and Spark Streaming.
- Deep understanding of Hadoop components (HDFS, Hive, HBase, YARN) in on-prem environments.
- Exposure to data analytics, preferably involving infrastructure or operational data.
- Experience working with Linux systems, shell scripting, and enterprise-grade deployment tools.
- Familiarity with monitoring and logging tools relevant to on-prem setups.
Preferred Qualifications:
- Experience with enterprise ODP platforms or similar large-scale data systems.
- Knowledge of configuration management tools (e.g., Ansible, Puppet) and CI/CD in on-prem environments.
- Understanding of network and storage architecture in data centers.
- Familiarity with data security, compliance, and audit requirements in regulated industries.
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Hadoop Engineer - ODP Platform in Wolverhampton employer: Experis
Join a forward-thinking company that values innovation and collaboration, offering a hybrid working model in the vibrant cities of Birmingham and Sheffield. As a Hadoop Engineer, you will thrive in a supportive work culture that prioritises employee growth through continuous learning opportunities and cutting-edge projects. Enjoy the unique advantage of working on enterprise-grade data solutions while being part of a team that champions diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Hadoop Engineer - ODP Platform in Wolverhampton
✨Tip Number 1
Make sure to showcase your hands-on experience with Hadoop technologies during networking opportunities. Attend local meetups or online webinars focused on big data and Hadoop, where you can connect with industry professionals and potentially learn about job openings.
✨Tip Number 2
Familiarise yourself with the specific tools mentioned in the job description, such as Apache Airflow and Spark Streaming. Consider working on personal projects or contributing to open-source projects that utilise these technologies to demonstrate your skills and passion for data engineering.
✨Tip Number 3
Engage with the data engineering community on platforms like LinkedIn or GitHub. Share your insights, ask questions, and participate in discussions related to Hadoop and data pipelines. This not only builds your network but also positions you as an active member of the field.
✨Tip Number 4
Research StudySmarter's current projects and initiatives related to data engineering. Tailor your conversations during interviews to reflect how your skills align with our goals, showing that you're genuinely interested in contributing to our team and enhancing our Operational Data Platform.
We think you need these skills to ace Hadoop Engineer - ODP Platform in Wolverhampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Hadoop, Python, and data engineering. Use specific examples from your past roles that demonstrate your skills in building data pipelines and working with the Hadoop ecosystem.
Craft a Strong Cover Letter:In your cover letter, express your enthusiasm for the role and the company. Mention your relevant experience with Apache Airflow and Spark Streaming, and how you can contribute to enhancing their Operational Data Platform.
Showcase Relevant Projects:If you have worked on projects involving data analytics or operational data, be sure to include these in your application. Describe your role, the technologies used, and the impact of your work on the project outcomes.
Highlight Compliance Knowledge:Since the role requires understanding of data security and compliance, mention any experience you have in regulated industries. This will show that you are aware of the importance of governance standards in data engineering.
How to prepare for a job interview at Experis
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Hadoop technologies, especially HDFS, Hive, and Spark Streaming. Bring examples of past projects where you designed and maintained data pipelines, as this will demonstrate your capability to handle the responsibilities of the role.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your troubleshooting skills. Prepare to explain how you've monitored and optimised data jobs in previous roles, and be ready to discuss specific challenges you faced and how you overcame them.
✨Highlight Collaboration Experience
Since the role involves working closely with infrastructure and analytics teams, share examples of how you've successfully collaborated with cross-functional teams in the past. This will show your ability to work effectively in a hybrid environment.
✨Understand Compliance and Security Standards
Familiarise yourself with enterprise security and data governance standards relevant to the role. Be ready to discuss how you've ensured compliance in previous positions, as this is crucial for maintaining the integrity of the data platform.
