SENIOR DATA ENGINEER

Recordly; Helsinki; Remote; EUR 60,000 - 74,000; Full time

Benefits offered by this job

Stock options

Yearly bonus

Flexible remote work

Healthcare

Monthly massage

Wellbeing hour

Travel and leisure insurance

Laptop & phone

Childcare support

Training & events

Job summary

Recordly is seeking a Senior Data Engineer to own data solutions, pipelines, and architectures that deliver measurable business value for customers. You’ll work in a tech-agnostic consultancy focused on real-time data and GenAI-ready platforms.

The role requires at least five years of relevant experience, fluency in English and Finnish, and based in Finland with remote options within the country. Expect a competitive monthly salary and a strong perk program.

Qualifications

• Strong hands-on experience with modern data platforms and architectures.
• Deep understanding of data architecture patterns (Data Lakehouse, Medallion, Data Mesh).
• Experience designing and delivering large-scale ELT pipelines and scalable data solutions.

Responsibilities

• Build real data solutions: pipelines, platforms, and models that create tangible value for customers.
• Deliver end-to-end data engineering across customer environments in a tech-agnostic consultancy.

Skills

Data architecture

ELT pipelines

Data modeling

Cloud platforms

DevOps/DataOps

Data governance

Tools

Snowflake

Databricks

dbt

Azure

AWS

GCP

Job description

Would you like to be a part of Recordly's story? Now is your chance! We’re looking for Senior Data Engineers who want to take ownership of complex data solutions, architectures, and pipelines. Working at Recordly means you get to work with customers that truly want to make data their competitive edge. You will be at the core of helping businesses capitalize on the opportunities data offers. As a Senior Data Engineer, you take strong ownership of customer environments and technical delivery.

WHO/WHAT IS RECORDLY?

At Recordly, we believe data and AI are transforming the way businesses create value. While this transformation is already reshaping industries, many organizations are still searching for practical ways to realize its full potential. Our experienced data professionals help companies bridge that gap, turning data and AI into meaningful business outcomes.

Our mission is to define how humans and data co-operate. We want to support businesses in understanding the data they already have, the opportunities they’re not yet capturing, and how to use these to enhance strategic KPIs. Simultaneously, we aim to translate business requirements into actionable tasks for teams working with the data or related technologies. We work closely with our customers to make this happen.

Our expertise covers data engineering, data architectures, and data management as well as hands‑on AI and ML solutions, GenAI applications, and agentic systems. Whether it’s real‑time pipelines, enterprise ML platforms, or modern cloud ecosystems, we focus on solutions that are practical, scalable, and built for long‑term value. We’re tech‑agnostic, but some of our most commonly used tools include Azure, GCP, AWS, Snowflake, dbt, and Databricks. In simple terms: we tech the heck out of data. What sets us apart is who we are and how we do it.

Our employee promise (besides offering engaging customer assignments, of course) includes the possibility of enjoying the company's success and shaping who we are and what we do together. We believe in being open about how the business is going and how our choices affect the bottom line. Take a look at our site to get to know us better!

What We’re Looking For

As a Senior Data Engineer at Recordly, you'll get your hands dirty building real data solutions; pipelines, platforms, and models that create tangible value for our customers. We're a tech‑agnostic consultancy, and we value broad data expertise over mastery of any single tool.

We hope you have at least five years of relevant experience.

Technical Requirements

Core expectations (you don’t need to tick every box, but most should feel familiar):

• Strong hands‑on experience with modern data platforms: Snowflake, Databricks, or Microsoft based data platforms, ideally more than one
• Deep understanding of data architecture patterns: Data Lakehouse, Medallion architecture, Data Mesh, or similar
• Experience designing and delivering large‑scale ELT solutions and scalable data pipelines
• Strong data modeling skills across the spectrum: from dimensional modeling to Data Vault 2.0
• Deep cloud expertise in at least one environment (Azure, AWS, GCP), including IaC practices (Terraform or similar)
• Solid DevOps/DataOps skills: CI/CD pipelines, testing, observability, and data quality management.

Nice to have:

• Experience with data governance: metadata management, data lineage, and data security practices
• Understanding of real‑time data processing (Kafka, Spark Streaming, Flink, or similar)
• Experience with data infrastructure for GenAI or ML platforms: feature stores, vector databases, RAG architectures
• Ability to identify business opportunities within customer engagements and contribute to solution development from a commercial perspective
• Experience with BI tools and building semantic models (e.g. Power BI, Snowflake semantic layer, Omni, or similar).

What we're especially looking for right now:

• End-to-end expertise in Snowflake + dbt environments
• Enterprise‑scale solutions built on Databricks.

Language requirements:

In addition to English, we require fluent written and spoken Finnish skills, as a significant part of our customer work is conducted in Finnish.

Location:

This role is based in Finland. Currently, we offer permanent remote work opportunities within the country. We cannot provide relocation support.

What's In It For You

When you join Recordly, you’ll be greeted by our open culture and awesome colleagues. On the more tangible side, we want to support your professional dreams while making sure you can pay your bills and take good care of yourself. Reflecting your skills, impact, and experience within our career framework, the salary range for this role is 5400 – 6600 €/month.

We also offer a great perks package, but we don’t believe in a one‑size‑fits‑all approach. That’s why everybody gets a solid baseline of benefits, topped off with our 'Pimp My Benefits' plan. It gives you the freedom to pick, choose, and prioritize the perks that fit you best. Below you can find some further details about our current benefit offering:

Baseline benefits:

• Own a piece of the journey: Opportunity to buy company stocks through our employee share program
• Shared success: A yearly bonus based on company performance (equal to all full‑time Recordlians)
• Work your way: A flexible remote working model
• Comprehensive healthcare: Extensive healthcare coverage, including dental and mental health services
• Unwind monthly: One complimentary massage every month through our partner network
• Weekly Wellbeing Hour: One paid hour per week built into your working time; use it for a workout, family life, or just to recharge
• Covered on the go: Travel and leisure‑time insurance
• Your choice of gear: Choose the laptop and phone that work best for you. We also provide a phone benefit
• Childcare support: Childcare services if your child falls ill
• Keep learning and connecting: Recurring training, learning sessions, knowledge sharing, and other social events.

Pick and choose your favorites:

We provide you with a yearly Pimp My Benefits budget to customize your own perk package. Mix and match from these options to suit your lifestyle:

• Lunch benefit to cover your meals
• Sports & culture benefit for your favorite free‑time activities
• Public transportation benefit for commuting
• IT & remote budget for your home office setup and equipment needed for daily work
• One‑off home cleaning service to free up your time
• One‑off childcare service for extra flexibility when you need it
• Additional dental care to cover extra dental treatments and check‑ups.

On top of all that, we promise you challenging customer assignments. Check out how Recordlians tech the heck out of data in action!