# Senior Data Engineer at Equal Experts

> India · Senior · Data engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Aequalexperts%3A5823892002 (read 2026-11-06).

## Facts (observed)

- Company: [Equal Experts](https://alderhq.app/companies/equal-experts)
- Location text: India; India
- Where it can be done from (inferred): India (evidence: "Location lists "india"")
- Posted: 2024-01-23 (1018 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/equalexperts/jobs/5823892002
- Skills listed (inferred): Python, Scala, AWS, GCP, Azure, Terraform, SQL

## Pay and sponsorship

- Posted pay: not posted
- Licensed UK sponsor: registered as "Equal Experts UK Limited" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers))
- Licensed UK sponsor: registered as "Equal Experts UK Ltd" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers))

## Description (the employer's text)

### Description

Equal Experts is an innovative consultancy specialising in the delivery of custom software solutions for

blue-chip enterprise and public sector clients across a range of industry sectors. We work on important

projects for our clients, deliver market-leading propositions across the digital, online and mobile

channels, and are recognised for our leadership in the application of agile and lean delivery methods to

assure delivery. We have offices in Australia, India, South Africa, the UK, the EU and the USA.

We’re looking for Data Engineers with proven senior-level experience to join the Equal Experts

network.

Our Data Engineers are highly skilled in creating data pipelines for ingest, transformation and storage of

data, usually at scale, and are familiar with standing-up analytics clusters.

This role involves using modern agile technical practices - including Continuous Integration and

Deployment, TDD, and XP - to deliver timely and pragmatic solutions, as well as helping others to do

their jobs in a more effective way.

This role involves working in teams that use modern agile technical practices - including continuous

integration and deployment and fast feedback loops - to deliver timely and pragmatic solutions, as well

as helping others to do their jobs in a more effective way.

### Responsibilities

● Working with the client and the team to determine data processing and access needs and how

best to deliver them.

● Creation and support of highly available data pipelines and storage solutions (e.g. data

warehouses).

● Delivery of software using agile (pair programming, TDD, CI/CD, etc) practices.

● Automation of data infrastructure and deployments.

● Advocating agile practices to the client organisation.

● Mentoring client team members.

● Helping improve the team and clients’ data capabilities.

### Required Skills

● Significant experience working on data pipelines, platforms and projects.

● Experience in developing solutions in one or more of the main Cloud providers (AWS, GCP,

Azure).

● Strong background in at least one programming language, Python or Scala preferable.

● Working with a variety of databases, data warehouses and distributed file systems in production

environments.

● Strong experience in SQL and data modeling.

● Exposure with data processing at scale.

● Knowledge about GDPR and data security. Working with source control and infrastructure as code (Git/Github, Terraform, ansible etc.) and CI/CD tools.

● Understanding and being able to support data scientists or business intelligence teams - in data

prep, mentoring and support functions.

● Strong collaboration and communication skills, including the ability to communicate effectively

while working remotely with globally distributed teams.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aequalexperts%3A5823892002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.