Data Engineer

Department: Development & Engineering

Employment Type: Full Time

Location: PT - Remote

Reporting To: Ian Walker

Compensation: €50,000 - €60,000 / year

Description

**ALL CANDIDATES MUST BE LOCATED IN PORTUGAL**

About Intermedia

Are you looking for a company where YOUR VOICE is heard? Where you can MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you.

Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years!

Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back!

Are you ready to make your mark?

About the role:

We’re looking for a skilled Data Engineer with deep Snowflake expertise to help modernize and scale our data platform. If you thrive in a fast-moving environment, can wrangle messy pipelines, and want to build the backbone of a cloud-first data strategy, this role is for you. You’ll work across legacy and modern systems to deliver reliable, high-quality data to customers and colleagues who depend on it every day.

Diversity, Inclusion, and Equal Opportunity

We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Key Responsibilities

Design, build, and maintain scalable and efficient data pipelines to support analytics, reporting, and operational use cases
Collaborate closely with product owners, analysts, and data consumers to translate business requirements into reliable data solutions
Develop and maintain data integration workflows across both cloud-native and on-premise systems
Champion best practices in data architecture, modeling, and quality assurance to ensure accuracy and performance
Participate in sprint planning, daily stand-ups, and retrospectives as an active member of a cross-functional agile team
Identify and remediate technical debt across legacy pipelines and contribute to the modernization of the data platform
Implement robust monitoring and alerting for pipeline health, data quality, and SLA adherence
Write and maintain documentation for data flows, transformations, and system dependencies
Contribute to code reviews and peer development to foster a collaborative and high-quality engineering culture
Ensure adherence to security, privacy, and compliance standards in all data engineering practices

Skills & Qualifications

5+ years of professional experience in data engineering, analytics engineering, or related fields
Bachelor’s Degree in Computer Science, or equivalent field and 2+ years of experience
Advanced SQL skills, including performance tuning and query optimization
Expertise in Snowflake, including data warehousing concepts, architecture, and best practices
Experience with modern data transformation tools (e.g., dbt)
Experience building and maintaining automated ETL/ELT pipelines, with a focus on performance, scalability, and reliability
Proficiency with version control systems (e.g., Git), working within CI/CD pipelines and experience with environments that depend on infrastructure-as-code
Experience writing unit and integration tests for data pipelines
Familiarity with data modeling techniques (e.g., dimensional modeling, star/snowflake schemas)
Experience with legacy, on-premise databases such as Microsoft SQL Server is preferred
Exposure to cloud platforms (e.g., AWS, Azure, GCP), cloud-native data tools, and data federation tools is a plus
Experience with Sql Server Reporting Services (SSRS) is beneficial

Soft Skills & Collaboration

Ability to work effectively in a hybrid technology environment (legacy and modern tools)
Able to collaborate and communicate with both technical and non-technical stakeholders
Problem-solving mindset, especially when working with incomplete documentation or legacy systems
A pragmatic, iterative approach to balancing short-term delivery with long-term platform improvement
Tenacity and drive to reduce technical debt and lead modernization efforts
Passion for continuous improvement and advocating for best practices in data engineering

Key Responsibilities

About Intermedia Cloud Communications