Lead Data Engineer

Anywhere in Latin America

Actively hiring, first seen by us 8 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Contract — employment source
Employment type Contract
Employment type in the employer’s posting: Contract
From the employer’s posting

Before you apply

Work authorization: Must already have the right to workRight to Work

What you’ll work on

Full posting

Design, build and maintain scalable batch and real-time ETL/ELT pipelines
Develop and optimise data models and transformations using SQL, Python and dbt
Translate CRM and customer engagement data needs into pipelines that power Braze
Implement data quality checks, unit tests and validation processes
Provide technical leadership and best practices to engineers

From the employer’s posting

Design, build, and maintain scalable ETL/ELT pipelines across batch and real-time data architectures.

Develop and optimise data models, transformations, and workflows using SQL, Python, and dbt.

Translate customer engagement and CRM data requirements into actionable data models and pipelines that power Braze and other platforms.

Implement data quality checks, unit tests, and validation processes to maintain data integrity.

Provide technical leadership, guidance, and best practices to engineers and help drive continuous improvement.

Apply at Massive-Rocket

Posting record

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Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 27, 20268 days ago
Recorded sightings: 10
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 8

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Massive-Rocket is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
Azure
BigQuery
Databricks
dbt
Hightouch
Power BI
Redshift
Snowflake
Tableau
GCP

Where the posting names them

We’re looking for an experienced Lead Data Engineer to design and deliver scalable, high-performance data solutions for our clients. You’ll lead data engineering initiatives, build and optimise data pipelines and models, and connect complex data sources to power analytics, customer engagement, and business decisions. Working closely with Data, CRM, and CDP teams, you’ll bring strong technical expertise across modern data platforms, with a focus on Snowflake, SQL, Python, and dbt. You’ll also guide engineering best practices, explore new technologies and AI tools, and help clients get more value from their data infrastructure. What Will You Do?

- Design, build, and maintain scalable ETL/ELT pipelines across batch and real-time data architectures. - Develop and optimise data models, transformations, and workflows using SQL, Python, and dbt. - Build and maintain integrations across cloud data platforms, warehouses, and external data sources

- 4+ years of hands-on experience with SQL, data modelling, and ETL/ELT processes. - 2+ years of experience using Python to build data applications and transformations. - Practical experience with dbt and modular data transformation.

- 5+ years of experience in data engineering, data platforms, or a similar technical role, with strong ownership of architecture, implementation, and optimisation. - 4+ years of hands-on experience with SQL, data modelling, and ETL/ELT processes. - 2+ years of experience using Python to build data applications and transformations.

- Practical experience with dbt and modular data transformation. - Experience with cloud platforms such as AWS, Azure, or Google Cloud, and modern data integration tools. - Strong understanding of data architecture, pipeline design, database performance, testing, and data quality.

- Familiarity with Braze, CRM platforms, and customer engagement data models. - Experience with other cloud data warehouses, such as BigQuery or Redshift. - Knowledge of data visualisation tools such as Power BI or Tableau.

Desirable - Hands-on experience with Snowflake, Hightouch, mParticle, or Databricks. - Snowflake SnowPro Advanced: Architect or Data Engineer certification.

- 2+ years of experience using Python to build data applications and transformations. - Practical experience with dbt and modular data transformation. - Experience with cloud platforms such as AWS, Azure, or Google Cloud, and modern data integration tools.

- Experience with other cloud data warehouses, such as BigQuery or Redshift. - Knowledge of data visualisation tools such as Power BI or Tableau. - Understanding of data governance, privacy, security, and access controls.

Who Are Massive Rocket? Massive Rocket is a rapidly scaling Braze and Snowflake agency on a mission to transform how digital marketing, product, and engineering teams connect. In just five years, we’ve grown at speed and are now gearing up for our next big milestone: hitting $100M in revenue. We build human experiences at scale, powered by cutting‑edge web, mobile, cloud, data, and AI technologies. If you’re excited by innovation, love solving complex challenges, and want to help shape the future of digital experiences, you’ll feel right at home here. Every role at Massive Rocket is entrepreneurial. The people who thrive here don’t just focus on their own remit — they understand the goals of the teams around them and actively contribute to the success of their colleagues, customers, and partners. We’re building a culture of ownership, collaboration, and growth, and we’re looking for people who want to make a real impact.

- Hands-on experience with Snowflake, Hightouch, mParticle, or Databricks. - Snowflake SnowPro Advanced: Architect or Data Engineer certification. - Experience with customer data platforms (CDPs), identity resolution, audience activation, and real-time data synchronisation.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Who Are Massive Rocket?

Massive Rocket is a rapidly scaling Braze and Snowflake agency on a mission to transform how digital marketing, product, and engineering teams connect. In just five years, we’ve grown at speed and are now gearing up for our next big milestone: hitting $100M in revenue. We build human experiences at scale, powered by cutting‑edge web, mobile, cloud, data, and AI technologies. If you’re excited by innovation, love solving complex challenges, and want to help shape the future of digital experiences, you’ll feel right at home here.

Every role at Massive Rocket is entrepreneurial. The people who thrive here don’t just focus on their own remit — they understand the goals of the teams around them and actively contribute to the success of their colleagues, customers, and partners. We’re building a culture of ownership, collaboration, and growth, and we’re looking for people who want to make a real impact.

Who Are We Looking to Add to Our Team?

We’re looking for an experienced Lead Data Engineer to design and deliver scalable, high-performance data solutions for our clients. You’ll lead data engineering initiatives, build and optimise data pipelines and models, and connect complex data sources to power analytics, customer engagement, and business decisions.

Working closely with Data, CRM, and CDP teams, you’ll bring strong technical expertise across modern data platforms, with a focus on Snowflake, SQL, Python, and dbt. You’ll also guide engineering best practices, explore new technologies and AI tools, and help clients get more value from their data infrastructure.

What Will You Do?

Design, build, and maintain scalable ETL/ELT pipelines across batch and real-time data architectures.
Develop and optimise data models, transformations, and workflows using SQL, Python, and dbt.
Build and maintain integrations across cloud data platforms, warehouses, and external data sources
Improve database performance, data reliability, and cost efficiency through monitoring and optimisation.
Implement data quality checks, unit tests, and validation processes to maintain data integrity.
Translate customer engagement and CRM data requirements into actionable data models and pipelines that power Braze and other platforms.
Work with customer events, user attributes, identity resolution, and data synchronisation to support personalised customer experiences.
Collaborate with Data, Analytics, CRM, and CDP teams to align technical solutions with client requirements and business goals.
Provide technical leadership, guidance, and best practices to engineers and help drive continuous improvement.
Identify opportunities to use AI tools, automation, and emerging technologies to improve engineering productivity and data workflows.
Support multiple client engagements, communicate technical recommendations clearly, and adapt to changing priorities.

What Makes You a Great Fit

5+ years of experience in data engineering, data platforms, or a similar technical role, with strong ownership of architecture, implementation, and optimisation.
4+ years of hands-on experience with SQL, data modelling, and ETL/ELT processes.
2+ years of experience using Python to build data applications and transformations.
Practical experience with dbt and modular data transformation.
Experience with cloud platforms such as AWS, Azure, or Google Cloud, and modern data integration tools.
Strong understanding of data architecture, pipeline design, database performance, testing, and data quality.
Experience translating business and customer engagement requirements into reliable data solutions.
Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Experience working in an agency or consulting environment, managing multiple clients and adapting to changing priorities.
A proactive approach to problem-solving, continuous learning, and using AI tools to improve day-to-day productivity.
Ability to work independently while collaborating effectively with cross-functional teams.
Strong written and verbal English communication skills (C1 level or equivalent).

Desirable

Hands-on experience with Snowflake, Hightouch, mParticle, or Databricks.
Snowflake SnowPro Advanced: Architect or Data Engineer certification.
Experience with customer data platforms (CDPs), identity resolution, audience activation, and real-time data synchronisation.
Familiarity with Braze, CRM platforms, and customer engagement data models.
Experience with other cloud data warehouses, such as BigQuery or Redshift.
Knowledge of data visualisation tools such as Power BI or Tableau.
Understanding of data governance, privacy, security, and access controls.
Exposure to AI/ML architectures, cloud-native AI services, or agentic workflows.
Experience working in Agile or Scrum environments.

Why You’ll Love Working Here

• Rocket‑Fuelled Growth – Big challenges, fast learning, and the chance to level up quicker than anywhere else

• A Culture That Actually Gives a Damn – Supportive, positive, and built around people who want to see you win

• A Global Crew – Collaborate with brilliant teammates across Europe, the US, and beyond

• Remote‑First for Life – Work from wherever you feel your best

• Real Career Momentum – Clear progression, real ownership, and space to grow into your next chapter

• Moments That Matter – Meetups, events, and team experiences that make the journey unforgettable

A Few Things to Know Before We Get Started

Bring Your Own Device – We operate a BYOD policy, so you’ll use your own kit for work

Right to Work – You’ll need a valid work visa; we’re not able to offer sponsorship at the moment

ID Checks – We may ask for proof of identity (passport, ID card, or a recent utility bill)

References – We may request two references, so have names, relationships, and contact details ready

For Contractors – Proof of incorporation and up‑to‑date insurance is required

A Quick Note on Applications

We receive a high volume of applications, and while we’d love to reply to everyone personally, it’s not always possible. If you haven’t heard from us within two weeks, it sadly means you haven’t been successful this time. But don’t let that stop you—we’re growing fast, and new opportunities open up all the time.

Employment type

Contract

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