Jobgether
Senior Software Engineer, Backend - Data Layer

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Senior Software Engineer, Backend - Data Layer
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Backend - Data Layer based in United Kingdom.
This is a senior backend engineering role focused on building the data infrastructure behind a large-scale enterprise process platform.
You will design and evolve storage, query, and data-processing capabilities across relational databases and Elasticsearch/OpenSearch.
Your work will directly influence how process data is stored, retained, queried, monitored, and exposed to customers.
You will own substantial engineering initiatives from solution design through delivery, working closely with Product, QA, Support, and SRE.
The environment is highly distributed and remote-first, with a strong emphasis on technical ownership, collaboration, and production excellence.
You will also contribute to challenging problems around performance, scalability, data pipelines, and reliable operation at scale.
The role offers the opportunity to shape a critical data layer while contributing to an increasingly AI-driven enterprise software platform.
Accountabilities
- Design, build, maintain, and improve backend services responsible for storing and serving process data at enterprise scale.
- Develop solutions across relational databases and Elasticsearch/OpenSearch, balancing correctness, performance, availability, scalability, and maintainability.
- Own engineering initiatives from requirements discovery and solution design through implementation, coordination, delivery, and production rollout.
- Partner closely with Product Management and cross-functional engineering teams to translate business and customer requirements into actionable technical solutions.
- Evolve data processing, retention, storage, and exposure capabilities to meet changing customer and product requirements.
- Improve the performance and scalability of secondary storage systems as usage and data volumes grow.
- Build internal tooling and operational capabilities that make the data layer easier to understand, troubleshoot, monitor, and operate safely in production.
- Investigate production data issues, including slow queries, execution plans, indexing problems, and other performance bottlenecks, and drive them through root-cause analysis and resolution.
- Participate in L3 support and on-call rotations, collaborating with Support and Site Reliability Engineering teams to resolve production incidents.
- Use production learnings and operational insights to continuously improve the reliability, performance, and usability of the data layer.
- Provide and receive clear, constructive feedback through code reviews and technical collaboration.
- Contribute to the evolution of engineering practices and architecture within a remote-first, cross-functional environment.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- 7+ years of professional experience as a backend software engineer, with a strong focus on backend systems and production data stores.
- Deep hands-on experience with relational databases such as PostgreSQL, MySQL, MariaDB, or MSSQL.
- Strong practical experience with Elasticsearch and/or OpenSearch, including indexing, query performance, and data modeling trade-offs.
- Proven ability to investigate slow queries, analyze execution plans and index usage, and identify root causes of production data and performance issues.
- Demonstrated experience leading medium-to-large engineering initiatives lasting three months or longer, covering solution design, planning, cross-team coordination, and predictable delivery.
- Strong understanding of backend architecture, data storage, query systems, and production-scale engineering.
- Excellent communication and collaboration skills, particularly in a distributed and remote-first environment.
- Ability to translate product requirements into clear technical plans and actionable engineering work.
- Comfortable working independently while maintaining strong alignment with Product, Engineering, Support, and SRE stakeholders.
- Willingness and ability to use the product directly to understand customer workflows and technical requirements.
- Experience with workflow automation or process orchestration software is a plus.
- Experience working across both relational databases and Elasticsearch/OpenSearch is advantageous.
- Experience building or maintaining CI pipelines is beneficial.
- Familiarity with database migration tools such as Liquibase or Flyway and with schema evolution in live production systems is a plus.
Benefits
- Fully remote position with flexibility to work from anywhere within the eligible EMEA region.
- Competitive, location-based compensation designed around local market conditions.
- Equity opportunities through a Virtual Stock Option Plan where applicable.
- Home office budget and support for coworking spaces.
- Flexible time off to support sustainable work and wellbeing.
- Locally tailored healthcare benefits where applicable.
- Access to global mental wellbeing support.
- Flexible lifestyle spending benefits covering areas such as fitness, family care, personal interests, experiences, and financial wellbeing.
- Retirement and pension plans, often including company contributions, depending on location.
- Life and disability insurance where applicable.
- Up to $/€/£1,000 per year for self-directed professional development, including courses, certifications, and books.
- Opportunities to connect with colleagues through annual company kickoffs, team offsites, local gatherings, and connection budgets.
- Inclusive, remote-first working environment with strong emphasis on collaboration, autonomy, and professional growth.


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We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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