# Senior Data Engineer

[Indiciumai](https://gurify.com/jobs?q=Indiciumai) · Lisbon · Posted 5 months ago

Senior

[Data](https://gurify.com/jobs/data)

[AI & ML](https://gurify.com/jobs/ai-ml)

[Apply on the original posting → (opens in a new tab)](https://job-boards.eu.greenhouse.io/indiciumai/jobs/4806301101)

## Job description

### About Indicium AI

Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability.

Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact.

### ABOUT THE ROLE

As a Senior Data Engineer at Indicium AI, you will serve as a technical authority within client engagements — leading architectural decisions, owning the delivery of complex data platforms, and shaping engineering standards across the engagement. This role requires someone who combines expert-level engineering with the communication skills to influence stakeholders, mentor colleagues, and drive the highest standards of data platform delivery.

### KEY RESPONSIBILITIES

### Architecture & Technical Leadership

- Lead the end-to-end design and delivery of scalable, production-grade data architectures including Data Warehouses, Data Lakes, and Lakehouses.

- Define data engineering standards, patterns, and guardrails used across the team and client engagements.

- Exercise full technical autonomy — propose, challenge, and refine architectural solutions with clients and internally.

### Advanced Pipeline Engineering

- Architect, build, and maintain mission-critical ELT pipelines.

- Optimise complex data workflows for performance, cost efficiency, and long-term maintainability.

### Infrastructure & Platform Engineering

- Own data infrastructure provisioning and lifecycle management via Infrastructure as Code (Terraform), ensuring scalability, security, and reliability at enterprise scale.

- Lead cloud architecture decisions across AWS and/or Azure, aligning platform choices to client strategy and commercial constraints.

### Governance, Security & Reliability

- Establish and enforce data governance frameworks — access policies, data quality standards, lineage, and observability — in complex, regulated environments.

- Define and own SLA commitments for critical data pipelines, leading incident response and continuous improvement efforts.

### Client & Stakeholder Engagement

- Act as a trusted technical advisor to senior client stakeholders, translating complex engineering decisions into clear business implications.

- Contribute to pre-sales and scoping conversations, helping shape technically sound and commercially viable engagements.

### Mentorship & Team Development

- Mentor junior and mid-level engineers, fostering a culture of engineering excellence, curiosity, and continuous learning.

- Champion DevOps and DataOps practices — CI/CD, testing, observability, and documentation — as non-negotiable standards.

- Drive research into emerging technologies and tools, translating findings into practical recommendations for the practice.

### REQUIREMENTS

At Indicium AI we believe in personal growth and professional development, and are convinced that the perfect candidate is one that continuously learns. Therefore, these requirements are an || and not an &&

### Technical

- Programming: 5+ years of professional experience building production data systems, primarily in Python. Proficiency in at least one additional language (Scala, Java, etc.).

- SQL: Expert-level SQL — schema design, complex query optimisation, and deep platform-specific knowledge (Snowflake, Redshift, etc.).

- dbt: Advanced dbt expertise. dbt Developer or dbt Architect certification is highly desirable (preference but not mandatory).

- Big Data: Deep experience with orchestration and transformation tooling like Spark, Presto, or Airflow — capable of leading complex aggregation and transformation logic at scale.

- IaC: Advanced Terraform experience — modules, remote state, workspace management, and cloud-specific provider expertise.

- Cloud Architecture: Advanced, multi-cloud experience (AWS, Azure) with professional or specialty-level certification on at least one platform.

- Version Control & CI/CD: Advanced Git workflows with hands-on ownership of CI/CD pipelines for data platform delivery.

### Soft Skills & Language

- Strong written and spoken English.

- Strong consultative instinct — you listen carefully, ask the right questions, and tailor solutions to client context.

- Resilient and decisive under ambiguity; comfortable leading delivery with incomplete information in fast-moving engagements.

### Benefits

- Holiday Entitlement - 25 days holiday plus bank holidays

- Learning & Development: 1.500€ training budget + 5 training days

- Company Bonus - Discretionary company and personal bonus paid quarterly

- Pension Scheme

- Choose Your Kit - Select from a range of laptops and accessories

- Social Events: meeting - Ups, Squad events, Summer/ Christmas events, etc.

- And many others.

**Live in Indiciumai’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role.

We remove it as soon as it disappears at source.

## More jobs like this

- MW [Senior Data Engineer](https://gurify.com/job/senior-data-engineer-at-mwdn-3470d359c2ac) Mwdn · Lisbon, Portugal · 5 days ago
- IT [Data Engineer II](https://gurify.com/job/data-engineer-ii-at-iterable-eba00603fb72) Iterable · Hybrid - Lisbon, Portugal · last week
- TH [AI & Data Engineer (all genders)](https://gurify.com/job/ai-data-engineer-all-genders-at-thorit-df61f361b443) Thorit · Lisboa, Portugal · 6 weeks ago
- UL [Senior Data Engineer - Databricks (m/f/*)](https://gurify.com/job/senior-data-engineer-databricks-m-f-at-ultratendency-a4cad0c1b36e) Ultratendency · Lisbon, Portugal · 2 months ago
- VA [Senior Data Engineer](https://gurify.com/job/senior-data-engineer-at-valtech-850159b900a9) Valtech · Lisbon · 2 months ago
- RI [Job Description](https://gurify.com/job/job-description-at-riskified-f535c07b29fb) Riskified · Lisbon · 3 weeks ago

```json
{"@context":"https://schema.org/","@type":"JobPosting","title":"Senior Data Engineer","description":"\u003Ch3\u003EAbout Indicium AI\u003C/h3\u003E\u003Cp\u003EIndicium AI is trusted by the world\u0026#39;s leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy \u0026amp; Utilities, Healthcare \u0026amp; Life Sciences, Retail \u0026amp; CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability.\u003C/p\u003E\u003Cp\u003EPowered by 600\u002B AI experts serving 50\u002B enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact.\u003C/p\u003E\u003Ch3\u003EABOUT THE ROLE\u003C/h3\u003E\u003Cp\u003EAs a Senior Data Engineer at Indicium AI, you will serve as a technical authority within client engagements \u2014 leading architectural decisions, owning the delivery of complex data platforms, and shaping engineering standards across the engagement. This role requires someone who combines expert-level engineering with the communication skills to influence stakeholders, mentor colleagues, and drive the highest standards of data platform delivery.\u003C/p\u003E\u003Ch3\u003EKEY RESPONSIBILITIES\u003C/h3\u003E\u003Ch3\u003EArchitecture \u0026amp; Technical Leadership\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003ELead the end-to-end design and delivery of scalable, production-grade data architectures including Data Warehouses, Data Lakes, and Lakehouses.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EDefine data engineering standards, patterns, and guardrails used across the team and client engagements.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExercise full technical autonomy \u2014 propose, challenge, and refine architectural solutions with clients and internally.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EAdvanced Pipeline Engineering\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EArchitect, build, and maintain mission-critical ELT pipelines.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EOptimise complex data workflows for performance, cost efficiency, and long-term maintainability.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EInfrastructure \u0026amp; Platform Engineering\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EOwn data infrastructure provisioning and lifecycle management via Infrastructure as Code (Terraform), ensuring scalability, security, and reliability at enterprise scale.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ELead cloud architecture decisions across AWS and/or Azure, aligning platform choices to client strategy and commercial constraints.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EGovernance, Security \u0026amp; Reliability\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EEstablish and enforce data governance frameworks \u2014 access policies, data quality standards, lineage, and observability \u2014 in complex, regulated environments.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EDefine and own SLA commitments for critical data pipelines, leading incident response and continuous improvement efforts.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EClient \u0026amp; Stakeholder Engagement\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EAct as a trusted technical advisor to senior client stakeholders, translating complex engineering decisions into clear business implications.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EContribute to pre-sales and scoping conversations, helping shape technically sound and commercially viable engagements.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EMentorship \u0026amp; Team Development\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EMentor junior and mid-level engineers, fostering a culture of engineering excellence, curiosity, and continuous learning.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EChampion DevOps and DataOps practices \u2014 CI/CD, testing, observability, and documentation \u2014 as non-negotiable standards.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EDrive research into emerging technologies and tools, translating findings into practical recommendations for the practice.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EREQUIREMENTS\u003C/h3\u003E\u003Cp\u003EAt Indicium AI we believe in personal growth and professional development, and are convinced that the perfect candidate is one that continuously learns. Therefore, these requirements are an || and not an \u0026amp;\u0026amp;\u003C/p\u003E\u003Ch3\u003ETechnical\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EProgramming: 5\u002B years of professional experience building production data systems, primarily in Python. Proficiency in at least one additional language (Scala, Java, etc.).\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ESQL: Expert-level SQL \u2014 schema design, complex query optimisation, and deep platform-specific knowledge (Snowflake, Redshift, etc.).\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003Edbt: Advanced dbt expertise. dbt Developer or dbt Architect certification is highly desirable (preference but not mandatory).\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EBig Data: Deep experience with orchestration and transformation tooling like Spark, Presto, or Airflow \u2014 capable of leading complex aggregation and transformation logic at scale.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EIaC: Advanced Terraform experience \u2014 modules, remote state, workspace management, and cloud-specific provider expertise.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ECloud Architecture: Advanced, multi-cloud experience (AWS, Azure) with professional or specialty-level certification on at least one platform.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EVersion Control \u0026amp; CI/CD: Advanced Git workflows with hands-on ownership of CI/CD pipelines for data platform delivery.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003ESoft Skills \u0026amp; Language\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EStrong written and spoken English.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EStrong consultative instinct \u2014 you listen carefully, ask the right questions, and tailor solutions to client context.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EResilient and decisive under ambiguity; comfortable leading delivery with incomplete information in fast-moving engagements.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EBenefits\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EHoliday Entitlement - 25 days holiday plus bank holidays\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ELearning \u0026amp; Development: 1.500\u20AC training budget \u002B 5 training days\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ECompany Bonus - Discretionary company and personal bonus paid quarterly\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EPension Scheme\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EChoose Your Kit - Select from a range of laptops and accessories\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ESocial Events: meeting - Ups, Squad events, Summer/ Christmas events, etc.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EAnd many others.\u003C/li\u003E\u003C/ul\u003E","identifier":{"@type":"PropertyValue","name":"Gurify","value":"senior-data-engineer-at-indiciumai-0472221d70a7"},"url":"https://gurify.com/job/senior-data-engineer-at-indiciumai-0472221d70a7","datePosted":"2026-03-11","validThrough":"2026-09-24T23:59:59Z","hiringOrganization":{"@type":"Organization","name":"Indiciumai","sameAs":"https://job-boards.eu.greenhouse.io/indiciumai"},"directApply":false,"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressCountry":"PT","addressLocality":"Lisbon"}}}
```

```json
{"@context":"https://schema.org/","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Jobs","item":"https://gurify.com/jobs"},{"@type":"ListItem","position":2,"name":"Portugal","item":"https://gurify.com/jobs/portugal"},{"@type":"ListItem","position":3,"name":"Senior Data Engineer","item":"https://gurify.com/job/senior-data-engineer-at-indiciumai-0472221d70a7"}]}
```