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Senior Backend Engineer – Distributed Reporting & Data Infrastructure

JR United Kingdom

Nottingham

Remote

GBP 50,000 - 80,000

Full time

2 days ago
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Job summary

A leading company in the cinema analytics sector seeks a backend-focused engineer dedicated to enhancing a scalable reporting platform. This role involves optimizing backend systems and collaborating across functions to ensure the accuracy and efficiency of data workflows, offering significant visibility and direct impact on cinema operations worldwide.

Benefits

Massive visible impact on millions of moviegoers
Start-to-finish ownership of projects
Technically challenging environment
Collaborate directly with founders

Qualifications

  • 5+ years building high-throughput backend systems is mandatory.
  • Experience with BI/reporting engines is a plus.
  • Familiarity with data-viz pipelines is desirable.

Responsibilities

  • Own and harden the distributed reporting engine.
  • Design data pipelines for years of transactional data.
  • Maintain data integrity and observability.

Skills

Ruby/Rails expertise
MySQL optimization
AWS experience
Data Integrity
Reporting engines knowledge

Tools

Highcharts.js
Terraform

Job description

Social network you want to login/join with:

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Client:

INDY

Location:

nottingham, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

06.06.2025

Expiry Date:

21.07.2025

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Job Description:

Location: Remote (Global)

Core Stack: Ruby on Rails (API-only), Sidekiq, MySQL, AWS (EC2, RDS, EFS), Highcharts.js (data consumers)

About INDY

INDY powers every operational layer of a movie theater—from ticket sales and concessions to scheduling, accounting, and real-time business intelligence. Our platform handles tens of millions of tickets a year across cinemas worldwide, yet we remain a nimble team where each engineer’s work is felt immediately in theaters on six continents.

Why This Role Exists

Our home-grown reporting platform is the analytical backbone of INDY. It decomposes incoming queries into thousands of parallel Sidekiq jobs (hourly → daily → weekly → monthly roll-ups) and serves the results back to cinema managers in seconds. As volume soars, we need a backend-focused engineer to:

●Own and harden this distributed reporting engine.

●Design data pipelines that can ingest years of transactional data and still answer ad-hoc questions quickly.

●You will partner with—but not be accountable for—front-end engineers who wire these APIs into Vue-based dashboards.

What You’ll Do

○Profile, partition, and optimize multi-terabyte MySQL schemas.

○Tune Sidekiq queues, worker pools, and EC2 autoscaling groups for bursty loads.

○Refactor long-running jobs into idempotent, parallelizable units.

Maintain Data Integrity & Observability

○Implement validation, audit trails, and automated backfills.

○Instrument metrics/alerting around throughput, latency, and cost.

Expand Administrative Workflows

○Expose clean GraphQL/REST contracts that power accounting tools for film bookings, revenue splits, and studio payouts.

○Introduce domain-specific abstractions (DSLs, helpers) so other engineers can add new report types rapidly.

Collaborate Across Functions

○Work with infra engineers on Terraform-managed AWS resources.

○Pair with front-end devs to ensure APIs are ergonomic and secure.

○Advise product and finance teams on data-model trade-offs.

What We’re Looking For

Must-Have

Nice-to-Have

5+ yrs building high-throughput backend systems

Experience with BI/reporting engines or OLAP stores

Deep Ruby/Rails & ActiveRecord expertise

Exposure to ClickHouse/Redshift/BigQuery

Event-driven or stream processing (Kafka, Kinesis)

Familiarity with data-viz pipelines (we use Highcharts.js)

AWS production experience (EC2, RDS, IAM, VPC)

Contributions to OSS or tech-blog posts on performance

What Success Looks Like (6-12 Months)

●Daily report-generation latency cut by 50 % while data volume doubles.

●Zero-downtime schema migrations and automated backfill strategy in place.

●First phase of studio-settlement APIs shipped and adopted by finance ops.

●Comprehensive dashboards/alerts proactively surface scaling limits before customers notice.

Why INDY Rocks

Massive Visible Impact – Your optimizations ripple out to millions of moviegoers.

Start-to-Finish Ownership – No layers of bureaucracy; ship, measure, iterate.

Technically Spicy – Distributed computing meets real-world financial correctness.

Tight-Knit Crew – Collaborate directly with founders and domain experts.

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