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Training in
Data engineering.
Build data platforms: ingestion, storage, orchestration, data lake and lakehouse.

Train your team on Data engineering privately: your people only, working on your real cases, onsite or in a live virtual classroom. The program is built at scoping and taught by a practitioner, eight participants maximum.

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Vetted experts · 18% acceptance rate
100% remote · US & Canada
Measured at 30/90/180 days
2,000+programs in the catalog
50+expert trainers
10,000+learners trained

Teams they trained with us

ArcelorMittalAptarGroupEquans

Why train in Data engineering?

Data projects rarely fail on the model, almost always on the plumbing. A data engineer builds the foundations — ingestion, storage, freshness, cost — without which analysts spend their time repairing extracts.

Sectors concerned

RetailBanking & InsuranceManufacturingEnergyTransportHealthcare

What Learni brings you

Working data analysts and data engineers on the modern stack (dbt, Snowflake, BigQuery, Power BI)

Industry-certified, deliverable-driven programs: every session produces a reusable query, dashboard or pipeline

Sector datasets so you practise on data close to your business

Post-training follow-up: review of a real case brought by the learner

Related domains

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Generative AI, agents, ML: from experiment to production.

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Build and run reliable, cost-controlled platforms.

Cybersecurity

Protect, detect, respond and stay compliant.

Quality & performance

Test, measure, make accessible and hold under load.

No-code & automation

Automate processes without waiting on an engineering team.

Domain · Data engineering

494 certified programs
in Data engineering.

Every program is built with an expert trainer and delivered onsite, remote or hybrid. All our programs are industry-certified and delivered by vetted experts.

See all 494 courses
Specializations

Refine by skill
or Data engineering technology.

Frequently asked questions — Data engineering

Which Data engineering courses can a team book?+
494 Data engineering programs are available, all delivered in-house for the client's own team only. Examples: Advanced Databricks Training - Accelerate Data Pipelines x3, Advanced Databricks Training - Deploy Scalable Data ML Pipelines and Advanced Databricks Training - Optimize Your Big Data Pipelines. Each one is adjusted to the team's real stack and use cases during a scoping call held before the session.
Which technologies does Data engineering training cover?+
Apache Spark, ETL & Pipelines and Kafka & Airflow. Those are the technologies actually attached to the Data engineering catalogue, so a team can check the scope before booking instead of discovering it on day one.
How long does Data engineering training take?+
1 to 5 days, depending on the target level. Delivery is onsite, and the days can be split into half-day slots across several weeks so the team stays operational.
Are there prerequisites for Data engineering training?+
It depends on the level: the Data engineering catalogue runs from Beginner to Expert, and each course page states its own prerequisites. A scoping call before the session checks that the group is homogeneous, which is what stops part of the room from dropping out or getting bored.
Can Data engineering training be funded by my employer's training budget?+
Yes. Learni runs Data engineering programs as corporate training, invoiced to the company and eligible for employer-funded skills budgets. We provide the attendance records, certificates of completion and reporting your finance or HR team needs, at no extra cost.

Planning a Data engineering upskilling project for your team?

Request a quote or browse the full catalog — answer in under 24h.

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