Lead Apache Hadoop Engineer

Deutsche Bank; London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

An established industry player is seeking a Lead Apache Hadoop Engineer to spearhead the development of innovative big data solutions. In this dynamic role, you will architect, design, and implement a cutting-edge open-source platform that enables clients to manage and analyze extensive datasets. You will mentor junior engineers, collaborate with cross-functional teams, and drive enhancements in delivery methodologies. This position offers a hybrid working model, competitive salary, and a range of benefits, making it an exciting opportunity for technology professionals eager to make a significant impact in the financial sector.

Benefits

Hybrid Working

Competitive salary

30 days holiday

Life Assurance

Private Healthcare

Flexible benefits

Volunteering leave

Qualifications

• Proven experience in architecting and deploying big data platforms using Apache Hadoop.
• Expert knowledge of hybrid cloud environments and associated technologies.

Responsibilities

• Develop robust architectures for big data platforms within the Apache Hadoop ecosystem.
• Implement and deploy solutions in hybrid cloud environments.

Skills

Apache Hadoop

Kubernetes

AWS

Azure

GCP

Problem-solving

Analytical skills

Communication skills

Tools

HDFS

Hive

HBase

Spark

Kafka

Yarn

Job description

Job Description:

Job Title: Lead Apache Hadoop Engineer

Location: London

Corporate Title: Vice President

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. Click here to see what we do.

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.