Data & AI Engineer — Turku, Finland
Data thatflows inrhythm.
We build AI-powered systems and data platforms that turn raw data into real business advantage — from LLM integrations and MLOps to lakehouse engineering. Built on Nordic engineering discipline and EU-grade compliance standards, delivered to regulated enterprises worldwide.
Core stack
Generative AI · MLOps · Data Lakehouse · Cloud Architecture
Technologies
What we do
Our services
From AI strategy and MLOps to data lakehouse builds, compliance, and cloud migrations — we design, engineer, and operate the intelligent, compliant data systems that regulated businesses compete on, wherever they're based.
01 / AI FIRST
Generative AI & LLM Integration
RAG pipelines, LLM-powered APIs, AI agents, and prompt engineering. We connect your enterprise data to foundation models — securely and at scale.
02 / AI/ML
MLOps & AI Platform Engineering
Feature stores, model training pipelines, serving infrastructure, drift monitoring, and retraining automation. Reliable AI, not just experiments.
03 / AI STRATEGY
AI Readiness & Data Strategy
Most companies get stuck between an AI pilot and real production impact — usually because the data underneath isn't ready. We assess your data maturity, identify high-value AI use cases, and build the foundation that actually gets you to production.
04 / COMPLIANCE
AI & Data Compliance
EU AI Act readiness, NIS2 security posture, and GDPR-compliant data pipelines — built into your architecture, not bolted on after. Compliance that travels: the same standard whether your customers are in Helsinki, London, or California.
05 / LAKEHOUSE
Data Lakehouse Engineering
Production-grade Databricks platforms on AWS or Azure. Medallion architecture, semantic model refresh, event-driven pipelines, and CI/CD from day one.
06 / ETL
ETL & Pipeline Development
Reliable, observable data pipelines using PySpark, dbt, Azure Data Factory, and more. We handle both real-time streaming and batch workloads at scale.
07 / CLOUD
Cloud Data Architecture
Multi-cloud expertise across AWS (S3, Glue, Redshift) and Azure (Synapse, ADF, SQL DW). Migrations, lift-and-shift, and greenfield builds with Terraform.
08 / QUALITY
Data Quality & Governance
Monitoring frameworks, SLA enforcement, unit testing, and schema governance. SAP integrations and dbt transformations for high-integrity data estates.
09 / DEVOPS
DataOps & CI/CD
GitHub Actions, Terraform, dbx, and semantic-release pipelines. Python packaging, secret management, and secure infrastructure provisioning.
10 / CONSULTING
Expert Consulting & Advisory
Can't find or afford a senior data or AI engineer? Embed one instead. Fractional data leadership, architecture reviews, team training, and hands-on mentoring — a strategic sparring partner or embedded expert, wherever you're based.
How we work
Our approach
Great AI and data engineering is equal parts architecture discipline, code quality, and business context.
Discover & scope
We audit your stack, understand your goals, and map the data flows that matter most.
Design & architect
We propose a solution architecture — right tools, cloud services, and data models for your context.
Build & test
Iterative delivery with CI/CD from the start. Every pipeline is tested and monitored before production.
Scale & hand over
We scale your platform, train your team, and provide runbooks so you own it confidently.
About Datalaya
Datalaya.ai is an AI-first data and engineering consulting firm founded in Turku, Finland. We help businesses across Europe and globally build scalable data platforms, intelligent pipelines, and AI-powered architectures.
The name combines Data with laya (लय) — a Sanskrit word meaning rhythm, flow, and harmony. That is exactly what we bring to your data: systems that breathe, scale, and deliver consistently.
We are headquartered in Turku, Finland, serving clients across Europe and beyond. We are growing — and actively hiring engineers who share our standards.
We work remote-first with clients globally, bringing the same engineering rigor and EU compliance standards to every engagement, regardless of geography.
Rakesh Goud
Data & AI Engineer
Current role
Data Engineer, Posti Group Oyj — Helsinki
Background
12+ years · Infosys, CitiusTech, Mindtree, Atos
Notable work
Reverse-engineered SAP S/4HANA transactions down to their raw backend tables and re-modeled them as reusable, medallion-architected dbt datasets for logistics operations.
Location
Turku, Finland
linkedin.com/in/rakeshgoud638233b1
Technology
Our tech stack
We work with the tools that the world's leading data teams rely on — and we know them deeply, not just superficially.
Data platforms
Languages & query
DevOps & infrastructure
Cloud & databases
Domains we've delivered in
Track record
Projects
Real engagements, real numbers — not pitch-deck estimates. A sample of the platforms we've built across logistics, healthcare, and enterprise IT.
Set up a new Databricks Lakehouse platform on AWS using medallion architecture — ingesting telemetry data and integrating ERP and CRM systems into a single refined, analytics-ready layer. Event-driven pipeline automation cut data latency by 45%.
Let's talk
Let's find the
rhythm in your data.
One short call is usually enough to know if we're the right fit. No decks, no sales pitch — just an honest look at your data and what it would take to get it working for you.
Start a conversation →Get in touch
Start a conversation
Whether you need a data platform built from scratch, a team to augment, or just an expert opinion — we'd love to hear from you.
Location
Turku, Finland
Response
Within 24 hours on business days