Senior Data Engineer – Data Quality Specialist

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BIP Brasil

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

Consulting • Financial Services • Technology

BIP Brasil is an international consulting firm that drives significant transformation through a personalized approach, fostering a maker culture and pioneering spirit in a constantly changing environment. They support major players in various sectors with transformation projects, and their extensive expertise includes risk management, technology implementation, and supply chain innovations across multiple industries.

📋 Description

• Map reports, information, databases and data flows involved in regulatory processes. • Gather primary sources, auxiliary datasets, support tables, integrations, transformations, volumes and technical dependencies. • Identify manual processes, parallel spreadsheets, macros, local controls and non-industrialized steps. • Support the creation of a data and report inventory, including sources, owners, flows, criticality and recurrence. • Structure and maintain governance artifacts such as a data catalog, data dictionary, business glossary and data lineage. • Design and document technical and functional lineage, from data origin to final consumption/regulatory reporting. • Define and implement data quality metrics for dimensions such as accuracy, completeness, consistency, integrity, traceability, reliability, timeliness, clarity and accessibility. • Support the design of quality controls, reconciliations, pre- and post-processing validations and audit trails. • Build or specify scorecards, indicators and executive dashboards for monitoring information quality. • Support the identification of gaps in data, processes, controls, documentation, architecture and governance. • Contribute to remediation action plans to address gaps, prioritize reports and evolve quality governance. • Collaborate with business, technology, architecture, risk, accounting, compliance, internal controls and audit teams. • Support the definition of tactical and target architecture for governance, data quality and monitoring. • Produce clear, traceable and auditable technical and functional documentation.

🎯 Requirements

• Solid experience as a Data Engineer, preferably in regulated environments or with critical data. • Practical knowledge of Data Quality and Data Governance. • Experience mapping data flows, sources, transformations, integrations and system dependencies. • Experience creating or maintaining a data catalog, data dictionary, business glossary and data lineage. • Knowledge of data quality metrics and dimensions such as completeness, accuracy, consistency, validity, uniqueness, timeliness, traceability and integrity. • Ability to design controls, validations, reconciliations and quality indicators. • Advanced SQL skills. • Knowledge of Python, PySpark or equivalent data processing tools. • Experience with ETL/ELT pipelines, data integration and data modeling. • Familiarity with modern data environments such as data lake, data warehouse, lakehouse or cloud platforms. • Ability to produce technical documentation, evidence, flows and data specifications. • Good communication skills to interface with technical teams and business stakeholders.

🏖️ Benefits

• All Points (points program for airfare and accommodation) • Health insurance • Dental insurance • Life insurance • Pet benefit • Mobility (including fuel option and ride-hailing services such as Uber and 99) • Flexible reimbursement (glasses, vaccines, education, concerts and others) • Meal voucher and/or food voucher • Birthday day off • Gympass • Financial consulting and facilitated loans • Alelo Club with various discounts at stores and pharmacies • 180-day maternity leave • 30-day paternity leave • Childcare allowance for the baby's first year • Transportation allowance according to project or area requirements • Annual bonus program • Commission for referring new clients