PROJECT - Data Engineer II

Responsibilities

Designing, developing, and maintaining batch and streaming data pipelines that support reporting, analytics, and artificial intelligence use cases

Building and optimizing extract, transform, and load processes using SQL, Python, and data engineering frameworks

Integrating data from structured and unstructured sources across cloud and on-premises environments

Supporting data quality, validation, monitoring, and issue resolution activities for production data assets

Collaborating with cross-functional teams to implement data models, improve platform performance, and support client delivery objectives

Preferred

Experience supporting federal, state, or local government clients

Experience with Apache Spark, Databricks, Snowflake, or Apache Airflow

Experience with application programming interfaces and request handling

Experience with Docker

Experience supporting machine learning workflows

Experience with Microsoft Azure SQL Server or Power Platform

Benefits

Eligible for a benefits package that is competitive for project delivery-focused professionals.

May be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program; any award depends on various factors, including individual and organizational performance.

Glassdoor

3.8

Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services.

London, England, GBR

https://www2.deloitte.com

Late Stage

Leadership Team

Anne Muraya

Chief Executive Officer - East Africa

Joe Ucuzoglu

Global Chief Executive Officer

Recent News

Fortune

Top execs say the $124 trillion Great Wealth Transfer, women entrepreneurs, and veterans are poised to remake the financial landscape

2026-10-13

The Next Web

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2026-10-11

The Independent

Deloitte fined £6m by watchdog over Go-Ahead audits

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Qualifications

Ability to work independently and collaborate as part of a team

Effective written and verbal communication skills

Meticulous attention to detail and quality of work product

Ability to build and sustain professional relationships

Ability to lead projects or workstreams

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

Strong interpersonal skills and professional demeanor

Ability to meet deadlines

Ability to provide clear guidance to others

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a similar quantitative field

0-2 years of experience working in Agile delivery environments

1+ years of experience in extract, transform, and load architecture and development

1+ years of experience using Python and Structured Query Language to build or support data pipelines

1+ years of experience working with relational database management systems

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Experience supporting federal, state, or local government clients

Experience with Apache Spark, Databricks, Snowflake, or Apache Airflow

Experience with application programming interfaces and request handling

Experience with Docker

Experience supporting machine learning workflows

Experience with Microsoft Azure SQL Server or Power Platform

Required skills

Agile Delivery, ETL Architecture and Development, Python, SQL, Relational Database Management Systems, Apache Spark, Databricks, Snowflake, Apache Airflow, API Integration, Docker, Machine Learning Workflows

Preferred skills

Experience with Docker, Experience supporting machine learning workflows, Experience with Microsoft Azure SQL Server or Power Platform

Experience

1+ years