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- Tasks: Lead the design and implementation of big data solutions using Apache Hadoop.
- Company: Join Deutsche Bank, a global leader committed to diversity and innovation.
- Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and private healthcare.
- Why this job: Be part of a creative team making a significant impact in technology.
- Qualifications: Experience with Apache Hadoop and cloud platforms like AWS or Azure is essential.
- Other info: Contribute to open-source projects and enjoy a culture of continuous learning.
The predicted salary is between 48000 - 72000 £ per year.
This job is with Deutsche Bank, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
Position Overview
Technology serves as the foundation of our entire organization. Our Technology, Data, and Innovation (TDI) strategy aims to enhance engineering capabilities, implement an agile delivery framework, and modernize the bank's IT infrastructure. We are committed to investing in and developing a team of forward-thinking technology professionals, offering them the training, autonomy, and opportunities necessary to engage in groundbreaking work. As a Lead Engineer, you will oversee the comprehensive delivery of engineering solutions to meet business objectives. You will provide engineering leadership across various teams, mentor junior engineers, and promote ongoing enhancements in delivery methodologies. You will have the opportunity to collaborate closely with clients while being part of a larger, creative, and innovative team dedicated to making a significant impact.
In RiskFinder, you will join a local team, collaborating with other teams both in your area and in different geographical locations. You will have the chance to architect, design, and implement an open-source big data platform, enabling clients to produce, access, and analyze extensive datasets through our custom components and applications.
What we’ll offer you
- Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them.
- Competitive salary and non-contributory pension.
- 30 days’ holiday plus bank holidays, with the option to purchase additional days.
- Life Assurance and Private Healthcare for you and your family.
- A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits.
- The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year.
Your key responsibilities
- Develop robust architectures and designs for big data platform and applications within the Apache Hadoop ecosystem.
- Implement and deploy big data platform and solutions on-premises and in hybrid cloud environments.
- Read, understand, and modify open-source code to implement bug fixes and perform upgrades.
- Security Architecture: Ensure all solutions adhere to security best practices and compliance requirements.
- Work directly with the Lead Architect and support cross-functional teams globally.
- Strategy Development: Contribute to defining the end-to-end platform engineering and application migration strategy.
Your skills and experience
- Proven experience in architecting, designing, building, and deploying big data platforms and applications using the Apache Hadoop ecosystem in hybrid cloud and private cloud scenarios.
- Experience with hybrid cloud big data platform designs and deployments, especially in AWS, Azure, or GCP.
- Experience in large-scale data platform builds and application migrations.
- Expert knowledge of Apache Hadoop ecosystem and associated Apache projects (e.g., HDFS, Hive, HBase, Spark, Kafka, Yarn etc.).
- Proficiency in Kubernetes for container orchestration.
- Ability to read and modify open-source code and experience with version upgrades of technology stacks.
- Excellent problem-solving and analytical skills, strong communication and collaboration skills to work effectively with global teams and the ability to work independently and take initiative.
- You will also ideally have made contributions to open-source projects.
How we’ll support you
A culture of continuous learning to aid progression. We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required.
About us
Deutsche Bank is the leading German bank with strong European roots and a global network. Deutsche Bank in the UK is proud to have been named in The Times Top 50 Employers for Gender Equality 2024 for five consecutive years. Additionally, we have been awarded a Gold Award from Stonewall and named in their Top 100 Employers 2024 for our work supporting LGBTQ+ inclusion. We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.
Lead Apache Hadoop Engineer employer:
Contact Detail:
Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Apache Hadoop Engineer
✨Tip Number 1
Familiarise yourself with the Apache Hadoop ecosystem and its associated projects like HDFS, Hive, and Spark. Being able to discuss these technologies confidently during interviews will demonstrate your expertise and passion for the role.
✨Tip Number 2
Showcase any experience you have with hybrid cloud environments, particularly AWS, Azure, or GCP. Be prepared to share specific examples of how you've implemented big data solutions in these settings, as this is a key requirement for the position.
✨Tip Number 3
Highlight your leadership and mentoring skills, especially if you've led teams or projects in the past. Deutsche Bank values collaboration and guidance, so be ready to discuss how you've supported junior engineers or contributed to team success.
✨Tip Number 4
If you've contributed to open-source projects, make sure to mention this in your discussions. It shows your commitment to the tech community and your ability to work collaboratively on complex problems, which aligns well with the role's expectations.
We think you need these skills to ace Lead Apache Hadoop Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with the Apache Hadoop ecosystem and any relevant big data projects. Use specific examples that demonstrate your skills in architecting, designing, and deploying solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with Deutsche Bank's commitment to innovation and collaboration, and include specific achievements that showcase your leadership abilities.
Highlight Relevant Skills: Clearly outline your proficiency in technologies mentioned in the job description, such as Kubernetes, AWS, Azure, and GCP. Provide examples of how you've used these technologies in past roles to solve complex problems.
Showcase Your Teamwork and Leadership: Since the role involves mentoring junior engineers and collaborating with global teams, include examples of your leadership experience and how you've successfully worked within diverse teams to achieve common goals.
How to prepare for a job interview at
✨Showcase Your Technical Expertise
As a Lead Apache Hadoop Engineer, it's crucial to demonstrate your deep understanding of the Apache Hadoop ecosystem. Be prepared to discuss your experience with HDFS, Hive, Spark, and other related technologies, as well as any large-scale data platform builds you've been involved in.
✨Highlight Your Leadership Skills
Since this role involves mentoring junior engineers and providing engineering leadership, share specific examples of how you've successfully led teams or projects in the past. Discuss your approach to fostering collaboration and innovation within your team.
✨Prepare for Problem-Solving Scenarios
Expect to face technical challenges during the interview. Brush up on your problem-solving skills and be ready to walk through your thought process when tackling complex issues, especially those related to big data platforms and security architecture.
✨Emphasise Your Adaptability
With the role involving hybrid cloud environments, it's important to convey your adaptability to different technologies and platforms. Share experiences where you've successfully transitioned between on-premises and cloud solutions, particularly in AWS, Azure, or GCP.
