Consultant - PySpark / Databricks Developer (Intermediate - Senior)

Electric Mind Inc.; Toronto (SD); On-site; USD 100,000 - 140,000; Full time

Job summary

Electric Mind is seeking a data engineer to build and maintain data pipelines on Databricks for a financial services data platform. You will work on a medallion (bronze/silver/gold) architecture using PySpark and publish curated data to downstream consumers via file exports and Kafka.

You’ll collaborate with a senior engineer, fix pipeline issues, and help keep the environment healthy across dev/qa/uat, with a focus on learning fast and writing clean, reliable code.

Qualifications

• Proficient in Python with clean, readable code and basic OOP.
• Experience with Databricks, notebooks, jobs, clusters, or SQL warehouses is a plus.
• Exposure to Spark/PySpark or strong SQL skills and willingness to learn Spark quickly.
• Working knowledge of SQL (joins, aggregations, window functions).
• Basic Git workflow: branches, commits, pull/merge requests.
• Able to read other people’s code and debug methodically.

Responsibilities

• Write and maintain PySpark transforms for bronze/silver/gold tables.
• Work with Lakeflow Declarative Pipelines and CDC/SCD patterns.
• Query and validate data in Unity Catalog across environments using SQL warehouses.
• Debug failed pipeline runs by tracing logs and fixing data quality issues.
• Maintain reference/lookup tables and small utility scripts (PowerShell/Python).
• Write and update unit/integration tests for transform logic.
• Participate in code reviews using GitLab MR workflows.
• Keep documentation current when changes are made.

Skills

Python

Databricks

Spark/PySpark exposure

SQL

Git workflow

Debugging

Tools

Databricks

Apache Spark

Job description

AtElectric Mind,Engineeringis where strategy meets action. Our team helps organizations cut through complexity—aligning business ambition with technology execution to unlock real, lasting change.You’llwork alongside curious, driven people tackling high-impact challenges for everyone from scaling startups to global enterprises. Each engagement is different, pushing you to learn, adapt, and grow.

Electric Mind’s Technology Practice brings together deep engineeringexpertise, modern delivery disciplines, and pragmatic architectural thinking to help clients execute complex, mission-critical transformation. We design and implement scalable, secure, high-impact technology solutions that accelerate business outcomes.

About the Role

We are looking for both permeant and contract for this role.

We're looking for a developer to help build and maintain data pipelines on Databricks for a financial services / wealth management data platform. The platform ingests data from multiple source systems, transforms it through a medallion architecture (bronze silver gold) using PySpark, and publishes curated data to downstream consumers via file exports and Kafka. You'll work alongside a senior engineer, writing transform code, fixing pipeline issues, and helping keep the environment healthy across dev/qa/uat.

This is a good fit for someone with solid Python fundamentals and some Spark/SQL exposure who wants to grow into a data engineering specialist. You won't be expected to know Databricks internals on day one — you will be expected to learn fast, ask good questions, and write clean,

What You'll Work On

• Writing and maintainingPySpark transforms(hand-written, not a generic framework) for silver and gold layer tables — things like customer, account, and transaction data models.
• Working withLakeflow Declarative Pipelines(Databricks' current pipeline framework — successor to DLT) andAuto CDC / SCD Type 2patterns for change-data-capture merges.
• Querying and validating data inUnity Catalogacross environments (dev/qa/uat) using SQL warehouses.
• Debugging failed pipeline runs: reading pipeline event logs, tracing bad records, fixing schema drift or data quality issues.
• Maintaining reference/lookup tables and small utility scripts (PowerShell/Python) used to operate the platform.
• Writing and updating unit/integration tests for transform logic.
• Participating in code review, using Git feature branches and merge requests (GitLab).
• Keeping documentation current when you change how something works.

Must-Have Skills

• Python— comfortable writing clean, readable code; understands functions, modules, basic OOP.
• Databricks
• Some exposure toApache Spark / PySpark, or strong SQL skills plus a willingness to learn Spark quickly.
• Working knowledge ofSQL(joins, aggregations, window functions).
• BasicGitworkflow: branches, commits, pull/merge requests.
• Comfortable reading other people's code and stack traces, and debugging methodically (not guess-and-check).

Nice-to-Have Skills

• Direct experience withDatabricks(notebooks, jobs, clusters, or SQL warehouses).
• Familiarity withDelta Lake, medallion architecture (bronze/silver/gold), or CDC/SCD concepts.
• Exposure toAzure(this environment runs on Azure Databricks with Azure AD service principal auth).
• Experience withKafkaor other streaming/event systems.
• Experience withCI/CDpipelines (this project uses GitLab CI).
• Prior work infinancial servicesor a regulated data environment.

What Success Looks Like in the First 90 Days

• Can independently pick up a small transform bug or enhancement ticket, make the change, test it, and open a merge request.
• Comfortable running existing operational scripts to check pipeline status, query tables, and diagnose failures without hand-holding.
• Starting to take ownership of the Databricks environments and help write new transforms

$100,000 - $140,000 a year

About Electric Mind

Electric Mind is a fast-growing, AI-native advisory and digital engineering firm built for those who want to shape the future, not just watch it happen.We blend premium strategyexpertisewithcutting-edgeAI-centric engineering to solve complex, meaningful problems for industry-leading clients.

We pride ourselves on a high-touch delivery model and a culture that values diverse talent, innovation, and true client partnership — creating an environment where your ideas matter and your impact is visible.

Ifyou’relooking for a place where you can grow fast, collaborate with exceptional teammates, and help build a company scaling its capabilities and global footprint at speed — Electric Mind is the place to ignite your career. The future is bright!

For more info on Electric Mind, check out our Careers Page and Instagram.

Electric Mind is committed to diversity in the workplace. We are an inclusive employer and welcome and encourage applications from all qualified candidates. Applicants’ needs will be accommodated during our recruitment and selection process so please advise us if you require accommodation.