Data Engineer: Modern Analytics Stack Specialist (Spain)

Spaulding Ridge; Madrid; Hybrid; Full time

Benefits offered by this job

Private health insurance

26 days of paid time off

Monthly technology and wellness allowance

Annual training allowance

Job summary

A consulting firm in Madrid seeks a Data Engineer to enhance data analytics platforms, utilizing tools like Snowflake and dbt. Responsibilities include modeling data, managing data warehouses, and conducting technical presentations. Ideal candidates have a strong SQL background, programming experience in Python, and are fluent in English. The firm values inclusivity and offers a competitive benefits package, including private health insurance and paid time off.

Qualifications

• Relevant experience modeling data and managing data warehouses.
• High proficiency in SQL and experience in programming, ideally in Python.
• Ability to speak and write in English fluently.

Responsibilities

• Model data as an Analytics Engineer in tools like dbt.
• Assess clients' data infrastructure and propose improvements.
• Deliver training and technical presentations to customers.

Skills

SQL

Python

Git

Cloud Services (Azure, GCP)

Data Warehousing

Technical Presentations

Self-motivation

Tools

Snowflake

BigQuery

dbt

Workato

Looker

Power BI

Job description

We are looking for a Data Engineer to join our excellent Data Solutions team in Spain.

We implement data analytics platforms for our customers based on the Modern Data Stack approach, leveraging tools like Workato/Boomi, Snowflake/BigQuery/Microsoft Fabric/Databricks, dbt and Sigma/Omni/Looker. We are a Consulting Partner of those technologies, so we are in close contact with their Sales and Solutions teams to support customers in testing, implementing and adopting those tools. Our clients range from the hottest scale-ups in Europe to famous public enterprise companies.

The role

• Model data as an Analytics Engineer in tools like dbt to create business logic from raw data.
• Assess clients' data infrastructure, identify improvements, and propose creative solutions and designs to tackle their challenges.
• Evaluate and design several data model pipelines for specific use cases and deliver technical presentations.
• Understand and manage modern Data Warehouses like BigQuery and Snowflake (schema structures, access control, performance, costs).
• Manage data ingestion through managed ELT tools like Workato, Boomi, and Fivetran as a first approach to data integration; custom data pipelines deployment based on cloud services is a plus.
• Get certified in our core technologies if you aren’t yet, mainly Snowflake SnowPro Core, Google Cloud Professional Data Engineer, and/or dbt Certified Developer.
• Deliver training, technical presentations, and co-development sessions with customers to help them implement a Data Stack.
• Participate in pre-sales conversations with prospective clients to define the scope and estimate the work for the project.
• Stay up-to-date to help customers prepare for using new features. Learn new tools at the advanced level and help customers do the same.
• Think beyond the task at hand; understand how our customers define their own success with the tool and help them work toward that goal.
• Share your knowledge, support the internal team, and learn from your peers on internal office hours and individual sessions.

You have

• Relevant experience modelling data, manipulating datasets, managing data warehouses, and high proficiency in SQL.
• Programming experience, ideally in Python, but other languages considered.
• Experience with any Cloud Provider (Azure and GCP preferred) and their respective data services.
• Experience with Git, CI/CD, and Infrastructure as code (like Terraform).
• Knowledge of any BI tool such as Omni, Sigma, Looker, PoweBI, etc.
• Self-motivation to study, discover new products and technologies in the data landscape.
• Ability to speak and write in English (fluently). The vast majority of our projects are delivered in English.
• Experience in delivering technical presentations.

We take care of you!

As an employee of Spaulding Ridge, you will be part of a company that is providing innovative opportunities to impact our clients in a meaningful way. We believe giving back is core to our values. As part of this effort, you will have the opportunity to participate in various activities throughout the year, including SR’s day of service, giving back to our global community. We offer a competitive benefit package, including:

• Private health insurance with Cigna
• 26 days of paid time off
• Monthly technology and wellness allowance
• Annual training allowance program

Please note:

We can't offer sponsorship for this role; you need to be based in Spain and have a valid working & living permit in Spain, even if the role is advertised as a hybrid.

Spaulding Ridge’s Commitment to an Inclusive Workplace

When we engage the expertise, insights, and creativity of people from all walks of life, we become a better organization, we deliver superior services to clients, and we transform our communities and world for the better.

At Spaulding Ridge, we believe our team should reflect the rich diversity of society and we take seriously the responsibility to cultivate a workplace where every bandmate feels accepted, respected, and valued for who they are. We do this by creating a culture of trust and belonging, through practices and policies that support inclusion, and through our employee led Employee Resource Groups (ERGs): CRE (Cultural Race and Ethnicity), Women Elevate, PROUD and Mental Wellness Alliance.

The company is committed to offering Equal Employment Opportunity and to providing reasonable accommodation to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Spaulding Ridge and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our VP of Human Resources, Cara Halladay ([e-mail]). Requests for reasonable accommodation will be considered on a case-by-case basis.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.