At a Glance
- Tasks: Drive data infrastructure and optimise databases for high-quality analytics.
- Company: Dynamic tech company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a fast-paced team culture with excellent career advancement opportunities.
- Why this job: Make a real impact by shaping data systems that drive business decisions.
- Qualifications: 5+ years in database engineering with strong SQL and Python skills.
The predicted salary is between 55000 - 75000 ÂŁ per year.
As a Senior Database Engineer, you will drive data infrastructure that enables data-informed decision-making, applying modern engineering and distributed systems practices. You will partner closely with Product Managers, Data Analysts, Software Engineers, and business stakeholders to deliver stable, high-quality data pipelines, enterprise reporting, and datasets that support analytics and machine learning use cases.
A primary responsibility of this role is to optimize and maintain our OLTP databases, ensuring reliability, performance, and production readiness. This includes auditing systems, improving data quality, refactoring legacy pipelines, and applying best practices for schema design, indexing, and query performance. In parallel, you will build and maintain scalable data systems that power advanced analytics across the business.
You will design performance testing and release validation frameworks to prevent regressions and ensure data integrity, while establishing strong production processes such as monitoring, alerting, backup and recovery, access controls, and incident response.
Education & Experience- Bachelor's degree in Mathematics, Statistics, Computer Science, or related field
- 5+ years of experience as a Database Engineer, Data Engineer, or similar role
- Experience designing, implementing, and maintaining high performant, scalable OLTP systems.
- Hands‑on experience and advanced knowledge of SQL (e.g., Postgres, Snowflake)
- Strong experience with data modeling, data warehouses, and lakehouse architectures
- Experience designing and implementing scalable data architectures, including batch and streaming pipelines
- Experience building ELT pipelines with dbt and Snowflake
- Intermediate to advanced Python development skills
- Experience assessing and improving existing database systems, including performance tuning (indexing, query optimization, partitioning) and data quality remediation
- Strong understanding of database internals and transactional systems
- Experience implementing backup, recovery, and high‑availability strategies
- Experience designing and implementing performance/load testing frameworks for data systems
- Knowledge of benchmarking, regression testing, and release validation processes
- Experience building automated testing pipelines to ensure data quality and system performance across deployments
- Experience defining and maintaining production database processes, including monitoring, alerting, and incident response
- Familiarity with observability tools and practices (logging, metrics, tracing)
- Strong understanding of SLAs, SLOs, and data reliability best practices
- Experience with AWS data technologies (Glue, Kinesis, Lambda)
- Experience with orchestration tools (Airflow)
- Experience with infrastructure‑as‑code (Terraform)
- Knowledge of the Software Development Lifecycle
- Experience with CI/CD pipelines, especially for data systems
- Experience with containerization (Docker, Kubernetes)
- Knowledge of encryption, anonymization, and tokenization
- Experience with open table formats and data catalogs
- Familiarity with data observability tools (e.g., Monte Carlo, Datadog, Prometheus)
- Detail‑oriented, with a strong data quality mindset
- Strong problem‑solving and troubleshooting skills with a proactive approach to system reliability
- Self‑starter with a bias toward ownership and continuous improvement
- Comfortable bringing structure and best practices to ambiguous or legacy environments
- Thrives in a fast‑paced, startup‑oriented, team‑focused culture
- Positive, collaborative, and energetic attitude
- Excellent verbal and written communication skills
- Ability to clearly explain complex technical issues to both technical and non‑technical audiences
ÂŁ55,000 - ÂŁ75,000 a year. We are proud to offer competitive salary ranges aligned to industry standards. Please note that our ranges are representative and individual compensation specifics may vary based upon experience level, professional competencies and geographic differentials.
Sr. Database Architect in London employer: Mitek Systems
Contact Detail:
Mitek Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Database Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to database architecture and data pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical folks.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the application process smoother for everyone involved.
We think you need these skills to ace Sr. Database Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Database Engineer. Highlight your experience with OLTP systems, data pipelines, and any relevant technologies like SQL and AWS. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background makes you a great fit for our team. Don’t forget to mention specific projects or achievements that relate to the job description.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex database challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions, so don’t hold back on sharing your success stories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Mitek Systems
✨Know Your Databases Inside Out
Make sure you brush up on your knowledge of OLTP systems, SQL, and data modelling. Be ready to discuss your experience with performance tuning and how you've optimised databases in the past. This will show that you’re not just familiar with the concepts but have practical experience applying them.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles, particularly around data quality and system reliability. Highlight your proactive approach to troubleshooting and how you’ve implemented solutions. This will demonstrate your ability to think critically and act decisively.
✨Familiarise Yourself with Tools and Technologies
Get comfortable with the tools mentioned in the job description, like AWS technologies, Airflow, and Terraform. If you have experience with CI/CD pipelines or containerisation, be ready to discuss it. Showing that you’re well-versed in these tools can set you apart from other candidates.
✨Communicate Clearly and Confidently
Practice explaining complex technical issues in simple terms. You’ll likely need to communicate with both technical and non-technical stakeholders, so being able to convey your ideas clearly is crucial. A positive and collaborative attitude will also go a long way in making a great impression.