Full Stack Data Engineer, Origination Data Pipeline & Reporting in , us
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and are on track to reach the Top 20 by 2030, with an expanding global footprint in the US (New York, Charlotte, Chicago, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society.
BIP specializes in high-impact consulting services across multiple industries with 6,000 employees worldwide. Our domains include Financial Services business serves Capital Markets, Insurance and Payments verticals, supplemented with Data & AI, Cybersecurity, Risk & Compliance, Change Management and Digital Transformation practices. We integrate deep industry expertise with business, technology, and quantitative disciplines to deliver high-impact results for our clients.
BIP is currently expanding its footprint in the United States, focusing on growing its Capital Markets and Financial Services lines. Our teams operate at the intersection of business strategy, technology, and data to help our clients in driving smarter decisions, reducing risks, and staying ahead in a fast-evolving market environment.
About the Role:
We are seeking a hands-on Full Stack Data Engineer to support the automation of reporting by building scalable data pipelines into origination systems. This role sits at the intersection of data engineering, software engineering, and analytics enablement, with a primary focus on enabling reliable, well-modeled origination data for downstream reporting and analytics.
The successful candidate will be delivery-oriented and comfortable owning data products end-to-end from ingestion and transformation through curated datasets and reporting consumption. You will work within a globally distributed agile team and contribute to a modern data ecosystem designed for scale, performance, and reliability.
Key Responsibilities:
Design, build, and maintain scalable ETL/ELT pipelines to ingest and transform origination data for reporting and analytics.
Develop and evolve database schemas and data models optimized for reporting automation and downstream consumption.
Deliver curated datasets and semantic layers that support consistent business reporting.
Integrate data pipelines with reporting and visualization tools (e.g., Sigma or similar BI platforms).
Continuously improve existing pipelines and data structures with a focus on data quality, performance, and reliability.
Apply strong software engineering practices, including code reviews, testing, and documentation.
Partner with data consumers, analysts, and business stakeholders to ensure reporting requirements are met.
Support production data pipelines and take ownership of delivery outcomes.
Required Skills and Experience:
5+ years of experience in data engineering, software engineering, or full stack data development roles.
Strong hands-on experience building ETL/ELT pipelines in production environments.
Solid experience designing database schemas and data models for reporting and analytics use cases.
Strong programming skills in Python and/or Java.
Experience working with cloud-based data platforms (Azure ) and modern data warehouses (Snowflake ).
Ability to work across the full data lifecycle from ingestion through reporting enablement.
Strong delivery ownership and ability to operate in fast-paced environments.
Excellent communication skills and experience collaborating with distributed teams.
Qualifications :
Experience supporting reporting or BI platforms (Sigma experience helpful but not required).
Familiarity with financial services, origination, or investment data domains.
Exposure to semantic modeling or analytics engineering concepts.
Experience building APIs or services to deliver data to downstream applications.
Experience with containerization/orchestration technologies (Docker, Kubernetes).
**The base salary range for this role is $130,000 - $170,000**
Choice of medical, dental, vision insurance.
Voluntary benefits.
Short- and long-term .
HSA and FSAs.
Matching 401k.
Discretionary performance bonus.
Employee referral bonus.
Employee assistance program.
11 public holidays.
20 days PTO.
7 Sick Days.
PTO buy and sell program.
Paid parental leave.
Remote/hybrid work environment support.
For more information about BIP US, visit https://www.bip-group.com/en-us/.
It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to , , , , , , , creed, , , genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.
#J-18808-Ljbffr
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.