Data Engineer II

Responsibilities

Design, build, test, and maintain scalable data pipelines and workflows for ingesting, transforming, and delivering structured and unstructured data

Develop and optimize data models, integration patterns, and storage solutions to support analytics, reporting, and operational use cases

Collaborate with cross-functional stakeholders to define data requirements, troubleshoot issues, and implement data quality controls

Build and support batch and near-real-time processing solutions using cloud-based and distributed data technologies

Document technical designs, data lineage, and deployment processes, and support testing, release, and production stabilization activities

Preferred

Master's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field

1+ years of experience with workflow orchestration tools such as Apache Airflow

1+ years of experience with data warehousing platforms such as Snowflake, Databricks, or Amazon Redshift

1+ years of experience with version control and continuous integration tools

1+ years of experience supporting data quality, metadata, and data lineage processes

1+ years of experience working in Agile delivery environments

Benefits

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, 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

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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, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field

3+ years of experience designing, building, and maintaining data pipelines and ETL/ELT workflows

3+ years of experience using SQL, Python, and PySpark for data ingestion, transformation, and automation

1+ years of experience using Palantir Foundry, including Pipeline Builder and Ontology-based data modeling

1+ years of experience monitoring data pipelines, troubleshooting issues, and supporting data quality and system reliability

Must possess an active U.S. Secret security clearance and be able to maintain it for the duration of employment and assignment

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

Master's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field

1+ years of experience with workflow orchestration tools such as Apache Airflow

1+ years of experience with data warehousing platforms such as Snowflake, Databricks, or Amazon Redshift

1+ years of experience with version control and continuous integration tools

1+ years of experience supporting data quality, metadata, and data lineage processes

1+ years of experience working in Agile delivery environments

Required skills

Data Pipelines, ETL/ELT, SQL, Python, PySpark, Palantir Foundry, Pipeline Builder, Ontology-Based Data Modeling, Data Quality, Apache Airflow, Snowflake, Databricks, Amazon Redshift, U.S. Secret Security Clearance

Experience

3+ years