At a Glance
- Tasks: Develop secure data platforms and pipelines for government clients using cutting-edge technologies.
- Company: Aker Systems creates ultra-secure, high-performance cloud data infrastructure for large organisations.
- Benefits: Enjoy 25 days holiday, medical insurance, life assurance, and various perks including a tech scheme.
- Other info: UK Government Security Check clearance is needed; support provided for applicants without it.
- Why this job: Join a culture-first company recognised for its growth and commitment to diversity and inclusion.
- Qualifications: Bachelor's degree required; experience in data pipeline development and cloud services preferred.
The predicted salary is between 43200 - 72000 £ per year.
Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations.
In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a ‘One to Watch’ on the Sunday Times Tech Track. The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories. We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, and supportive place for you to do your very best work.
We are seeking an experienced and hands-on Lead Data Engineer to design, build and evolve secure, scalable data platforms for clients across the UK Public Sector and Utilities sectors.
You will work closely with architects, engineers and client stakeholders to deliver modern cloud-based data solutions that support operational, analytical and AI-driven use cases. The role combines technical leadership with hands-on engineering, helping clients modernise their data estates while ensuring solutions are secure, reliable and scalable.
Working across multiple projects, you will lead the development of batch and real-time data pipelines, support architectural decision-making, and help establish engineering best practices across delivery teams.
Strong experience with real-time streaming technologies is essential.
Key Responsibilities
- Lead the design, development and deployment of secure, scalable data pipelines and data platform components.
- Design and implement batch and real-time streaming solutions using modern event-driven architectures.
- Own technical design decisions across projects, balancing scalability, security, performance and delivery requirements.
- Lead technical workshops, discovery sessions and architecture discussions with client stakeholders.
- Assess existing client data platforms and design practical approaches for modernisation, migration and integration.
- Build and maintain data ingestion, transformation and integration capabilities across a variety of data sources.
- Develop cloud-native data platforms using AWS services and open-source technologies.
- Ensure data quality, governance, lineage and security requirements are embedded throughout the data lifecycle.
- Drive engineering best practices including code reviews, automated testing, CI/CD and Infrastructure as Code.
- Support multiple client engagements, helping delivery teams maintain consistent engineering quality and standards.
- Mentor and support engineers across project teams, providing technical guidance and leadership.
- Perform data modelling, performance tuning and root cause analysis to resolve complex data and platform issues.
Essential Skills & Experience
Real-Time Streaming & Data Engineering
- Strong commercial experience designing and implementing real-time streaming data platforms.
- Hands-on experience with technologies such as Apache Kafka, AWS Kinesis, Apache Flink, Spark Streaming, Apache Pulsar, or similar event-driven technologies.
- Experience building high-volume, low-latency, resilient data pipelines in production environments.
- Strong understanding of modern data engineering patterns, including batch, streaming and hybrid architectures.
Data Engineering & Databases
- Extensive experience developing and operating enterprise-scale data platforms.
- Strong SQL skills and experience designing data models for analytical and operational workloads.
- Proficiency in Python or other modern programming languages used for data engineering.
- Experience configuring, tuning and optimising relational and NoSQL databases.
Cloud & Software Engineering
- Strong experience working with AWS cloud services, including EC2, RDS, Lambda, Athena, Glue, S3 and IAM.
- Experience working within Agile delivery environments.
- Strong understanding of Test-Driven Development (TDD) and automated testing practices.
- Experience implementing CI/CD pipelines and engineering automation.
- Strong understanding of Infrastructure as Code principles.
- Experience using version control systems such as Git.
Regulated Environments
- Experience delivering technology solutions within UK Public Sector, Utilities, Energy, Water, Financial Services or other highly regulated industries.
- Understanding of security, governance and compliance considerations within regulated environments.
Desirable Skills
- Experience with Terraform.
- Experience with Docker and Kubernetes.
- Knowledge of Ansible and Packer.
- Linux and Windows administration experience.
- Experience supporting AI, machine learning or advanced analytics platforms.
- Experience working on programmes requiring UK Government security clearance.
What We're Looking For
- Strong technical leadership and problem-solving skills.
- Ability to communicate effectively with both technical and non-technical stakeholders.
- Experience working in complex, regulated environments.
- A collaborative approach and willingness to support and mentor others.
- A focus on delivering practical solutions that create value for clients.
- A passion for building reliable, scalable and secure data platforms.
Education
Bachelor’s degree in computer science, Software Engineering, Data Engineering, Mathematics or a related technical discipline, or equivalent practical experience.
Aker Systems Attributes
At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here: try things, and take responsibility for the outcomes. You are always part of the wider Aker. We help our colleagues and take pride in successfully achieving difficult tasks. We run towards problems and help to solve them. Communicate always, do so accurately and in a timely fashion.
In return, we offer a competitive salary, 25 days holiday plus bank holidays, company paid medical insurance and life assurance, pension scheme, annual training allowance, wellbeing allowance, virtual GP, Employee Assistance plan and more.
Equal Opportunities
Aker Systems fosters a diverse environment that encourages openness in its communications and is committed to providing equal employment opportunity for all people regardless of race, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. We embrace differences of opinion and diversity because they help challenge us and find new groundbreaking technical solutions.
Lead Data Engineer employer: Aker Systems
Aker Systems is an exceptional employer that prioritises a collaborative and inclusive work culture, making it a great place for talented individuals to thrive. With a commitment to employee growth and development, we offer opportunities to work on cutting-edge technology solutions in a supportive environment, all while enjoying a competitive salary and generous holiday allowance. Our recognition in the industry, including the Breakthrough Culture Awards, reflects our dedication to fostering a workplace where everyone can contribute their best work.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS services like EC2, RDS, and Lambda. Having hands-on experience or even personal projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Understand the importance of data modelling and be prepared to discuss different data structures. You might want to brush up on how various models can impact performance and scalability, as this knowledge will be crucial in your role.
✨Tip Number 3
Since Aker Systems values collaboration, think of examples from your past experiences where teamwork led to successful outcomes. Be ready to share these stories to demonstrate your fit within their culture.
✨Tip Number 4
Prepare to discuss your approach to problem-solving, especially in data processing challenges. Aker Systems appreciates candidates who can run towards problems and find solutions, so highlight any relevant experiences where you did just that.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data pipeline development, cloud services like AWS, and any programming languages you are proficient in, particularly Python. Customise your CV to reflect the specific skills mentioned in the job description.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for data engineering and your understanding of Aker Systems' mission. Mention how your background aligns with their focus on secure data platforms and your commitment to teamwork and collaboration.
Highlight Relevant Projects:If you've worked on projects involving data modelling, cloud technologies, or Agile methodologies, be sure to include these in your application. Provide specific examples of challenges you faced and how you overcame them, demonstrating your problem-solving skills.
Proofread Your Application:Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial in a data engineering role.
How to prepare for a job interview at Aker Systems
✨Understand the Company Culture
Aker Systems values a collaborative and open environment. Familiarise yourself with their culture, especially their emphasis on teamwork and problem-solving. Be prepared to discuss how you can contribute to this culture during your interview.
✨Showcase Your Technical Skills
As a Lead Data Engineer, you'll need to demonstrate your expertise in data pipeline development and cloud services like AWS. Prepare examples of past projects where you've successfully implemented these technologies, focusing on the challenges you faced and how you overcame them.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and technical knowledge. Practice articulating your thought process when tackling data processing challenges or designing data models. This will show your analytical skills and ability to think critically under pressure.
✨Highlight Your Commitment to Continuous Learning
Aker Systems appreciates candidates who are eager to learn and grow. Share any recent courses, certifications, or personal projects that demonstrate your commitment to staying updated with the latest technologies and methodologies in data engineering.
