Lead Apache Hadoop Engineer

Lead Apache Hadoop Engineer

London Full-Time 60000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the design and implementation of big data solutions using Apache Hadoop.
  • Company: Join Deutsche Bank, a leading global bank with a commitment to innovation and diversity.
  • 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 and data.
  • Qualifications: Experience in big data platforms, Apache Hadoop, and cloud environments is essential.
  • Other info: Contribute to open-source projects and enjoy a culture of continuous learning.

The predicted salary is between 60000 - 84000 £ per year.

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: Australian Investors Association

Deutsche Bank is an exceptional employer, particularly for the Lead Apache Hadoop Engineer role in London, where innovation and employee wellbeing are at the forefront of our culture. We offer a competitive salary, extensive benefits including hybrid working options, generous holiday allowances, and a commitment to continuous learning and development, ensuring that our employees thrive both professionally and personally. Join us in a dynamic environment that values diversity and collaboration, empowering you to make a significant impact while enjoying a fulfilling work-life balance.
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Contact Detail:

Australian Investors Association Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Apache Hadoop Engineer

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as Apache Hadoop, HDFS, Hive, and Spark. Being able to discuss your hands-on experience with these tools during interviews will demonstrate your expertise and suitability for the role.

✨Tip Number 2

Showcase your leadership skills by preparing examples of how you've mentored junior engineers or led projects in the past. This will highlight your ability to oversee engineering solutions and collaborate effectively within teams.

✨Tip Number 3

Research Deutsche Bank's culture and values, particularly their commitment to diversity and inclusion. Be ready to discuss how your personal values align with theirs, as this can set you apart from other candidates.

✨Tip Number 4

Engage with the open-source community related to the technologies you'll be working with. Contributing to projects or discussing your experiences on platforms like GitHub can provide you with valuable insights and connections that may benefit your application.

We think you need these skills to ace Lead Apache Hadoop Engineer

Expert knowledge of Apache Hadoop ecosystem
Experience with HDFS, Hive, HBase, Spark, Kafka, Yarn
Proficiency in Kubernetes for container orchestration
Architecting and designing big data platforms
Deployment of big data solutions in hybrid cloud environments
Ability to read and modify open-source code
Experience with version upgrades of technology stacks
Strong problem-solving skills
Excellent analytical skills
Strong communication skills
Collaboration skills for working with global teams
Initiative and ability to work independently
Experience in large-scale data platform builds
Experience in application migrations
Knowledge of security best practices and compliance requirements

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 passion for technology and innovation. Mention how your background aligns with the responsibilities of the Lead Apache Hadoop Engineer role and how you can contribute to the company's objectives.

Showcase Relevant Skills: Clearly outline your proficiency in key areas such as Kubernetes, cloud platforms (AWS, Azure, GCP), and your ability to work with open-source code. Highlight any contributions to open-source projects, as this will strengthen your application.

Proofread and Edit: Before submitting your application, thoroughly proofread your documents. Check for any spelling or grammatical errors and ensure that your formatting is consistent. A polished application reflects your attention to detail.

How to prepare for a job interview at Australian Investors Association

✨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 contributions you've made to open-source projects.

✨Highlight Leadership and Mentoring Skills

Since the role involves overseeing engineering solutions and mentoring junior engineers, share specific examples of how you've led teams or mentored others in previous positions. This will show your ability to guide and inspire a team.

✨Discuss Problem-Solving Scenarios

Prepare to talk about complex problems you've encountered in big data platform builds and how you resolved them. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.

✨Emphasise Collaboration and Communication

Given the global nature of the role, it's important to highlight your communication skills and experience working with cross-functional teams. Share examples of successful collaborations and how you navigated challenges in a diverse team environment.

Lead Apache Hadoop Engineer
Australian Investors Association
A
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