Mateo
Full Stack Developer
ReactNode.jsPythonTypeScriptNext.jsMongoDBAWSAIAPIs
Shakers for companies
Work with a senior Databricks Engineer
A certified data engineer specialised in the Databricks platform: the lakehouse on Delta Lake that consolidates your data, Spark pipelines that scale without rewrites and a Unity Catalog that keeps access in order.
Senior tech talent on the workspace you already run, starting in days and budgeted by scope.
- Certified talent in AI and agent skills
- Meet up to 3 AI Builders in 72 h
- Flexible collaboration models
+600
European clients across different industries
Top 4%
We work with the top 4% of certified talent in our community
72 hours
Meet 3 certified candidates in under 72 h
4.7/5
Our clients' satisfaction on Trustpilot
The talent mix your company needs
At Shakers you will find AI Engineers and specialists across Tech, Product and Data
Ana
DevOps Engineer
DockerCI/CDAWSAzureKubernetesTerraformAmazon Bedrock
Lucas
Backend Developer
Node.jsPythonJavaGoPHPMySQLMongoDBDocker
.webp?width=1000&height=1000&name=Builder%20Kit%20(1).webp)
Emma
Security Engineer
Burp SuiteOWASP ZAPMetasploitNmapNessusTrivySnyk
What this profile brings to your project
A Databricks Engineer is a data engineer specialised in the Databricks platform: they build the lakehouse on Delta Lake, write the pipelines in Spark and PySpark and open the data to the business with Databricks SQL, all governed by Unity Catalog.
It is the data engineer specialisation for companies done with silos: batch and streaming, structured and unstructured data, on a single platform over AWS or Azure.
DatabricksDelta LakeSparkPySparkDatabricks SQLUnity CatalogDelta Live TablesMLflowAirflowPythonSQLdbtKafkaAWSAzurecluster cost
One provider. One contract. Full traceability
How Shakers works for your company
Post your project
Tell us about the project, its scope, the expertise you need and when you want to get to work.
You get three options
We match your brief against certified talent and introduce the three AI Builders who fit best.
The last word is yours
Meet the three specialists and choose who you collaborate with; we handle the rest.
Why work with Shakers
The advantages of adding this profile with Shakers
A lakehouse, not another silo
Batch and streaming on Delta Lake: structured and unstructured data live on the same platform the business queries.
Spark pipelines that scale
Transformations that survive data growth without rewrites: partitioning and jobs that hold when the spike arrives.
Unity Catalog from day one
Who accesses which table, with what permission and with data lineage: the governance that keeps the lakehouse in order as it grows.
Databricks SQL for every team
The business queries with standard SQL over the same data the pipelines serve: one figure for finance, operations and product.
Cluster cost under control
Autoscaling and cluster policies designed before the first invoice: the platform sustains itself when the project ends.
A natural bridge to ML
MLflow and governed data leave the path ready for models: when the scientist arrives, they do not start from zero.
Frequently asked questions
Any other questions? Our team will answer them.
Tell us your data projectDatabricks Engineer or data engineer?
The data engineer builds pipelines on any stack; the Databricks Engineer specialises that craft in one platform: lakehouse, Delta Lake and Unity Catalog. If your brief already runs a Databricks workspace, this is the role.
How much does a Databricks Engineer charge?
Scope sets it: number of sources, volume to move and catalog governance. On Shakers the project is budgeted by deliverables, not by cluster hours or person-days.
How long until the first pipeline is in production?
With workspace access and a scoping session, the first bronze-to-gold layer with real data lands in days. The complete lakehouse, with governance and per-team permissions, is delivered by milestones.
External specialist or in-house data team?
The external fits to launch the lakehouse, bring order to a workspace that grew ungoverned or a bounded accelerator; the in-house team, for the day to day after. Many briefs end in a documented handover.
Is Databricks work done remotely?
Almost all of it: the workspace lives in the cloud and sessions with the team are remote. Only some on-premise data deployments ask for occasional presence.
What does the specialist need to start?
Access to the Databricks workspace (or the AWS or Azure subscription where it will be created), the data sources and one session to fix zones, cadence and catalog permissions.
What gets delivered in the first weeks
An orderly workspace: bronze, silver and gold zones on Delta Lake, the first production pipeline and a catalog with permissions per team. Every table has an owner, a cadence and lineage.
2,347 job postings ask for Databricks
2,347 active tech job postings in the UK ask for Databricks, according to Shakers market analysis (n=56,780, October 2026). It is no longer a CV extra: it appears in MLOps, senior data science and AWS data engineering briefs.
Where the Databricks Engineer ends
They build and govern the data platform; interpretation belongs to the analyst and the model to the scientist. If your problem is deciding which chart to look at, a different role fits.
Senior, because the cluster does not forgive
A badly partitioned job does not fail in the demo: it fails when the data grows and the invoice lands. Scope and cluster size are agreed before kickoff.
Connect with AI specialists to build your next project
Find specialists in Tech, Product, Data to complement your team
Data Engineer
The general craft this role specialises: if the brief has no platform yet, start here and choose the workspace later.
Data Scientist
Trains models over the governed data of the lakehouse: without reliable layers, the prediction goes nowhere.
Machine Learning Engineer
Puts those models in production with MLflow on the same platform: the natural bridge once the data is home.
AWS Engineer
The account and network where the workspace runs: without that base solved, the cluster pays the toll on every invoice.
The AI talent you need Certified by Shakers
We introduce you to three ready_to_build AI Builders in 72 hours.
