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# BI and Data Analytics Engineer

- **Company:** Templeton & Partners
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Data Analysis, Big Data, Cloud Database, Databases, Continuous Integration, Data as a Services, Data Architecture, Data Validation, Data Control, Data Governance, Data Visualization, DevOps, Document-Oriented Databases, Python (Programming Language), NumPy, Power BI, SQL Databases, Tableau (Software), Data Processing, Sql Optimization, Snowflake, Advanced Reports, Pandas, Data Lakes, Pyspark, Qlikview, Data Management, Databricks
- **Published:** August 4, 2026
- **Apply:** https://www.jobleads.com/es/job/ec837e29e8964babe6f47d2b97f43b14e

## About the Role

* Experience with tools such as Power BI, Tableau, or Qlik.
 * Strong understanding of KPIs, metrics, and data visualization best practices.

Data & SQL

 * Advanced SQL and experience working with large datasets.
 * Strong analytical and problem-solving capabilities.

Python

 * Proven experience in data analysis, automation, and validation.
 * Familiarity with libraries such as pandas, NumPy, or PySpark.
 * Experience with AWS data services (e.g., Athena, Glue, QuickSight, SageMaker).
 * Understanding of cloud data architectures and data lakes., * Experience in financial services, ideally within markets, FX, trading, or risk.
 * Familiarity with regulated environments and data governance practices., * Mid to senior level professional.
 * Strong technical and analytical mindset.
 * Comfortable working across business and engineering teams.
 * Able to work independently and handle complex data challenges.
 * Detail-oriented with a focus on data quality and control., * Exposure to FX or electronic trading environments.
 * Experience with tools such as Databricks, Snowflake, dbt, or Airflow.
 * Knowledge of CI/CD, DevOps, or data governance frameworks.

## Description

You will play a key role in designing and delivering BI and analytics solutions while ensuring strong data quality, governance, and end-to-end data workflow management. This position sits at the intersection of business and technology, requiring close collaboration with stakeholders, product owners, and engineering teams., * Design, develop, and maintain dashboards, reports, and analytical solutions.

 * Translate business requirements into data models and technical solutions.
 * Perform advanced data analysis using SQL and Python.
 * Implement data quality checks, reconciliations, and root-cause analysis.
 * Automate reporting and validation processes.
 * Work with diverse data sources including databases, APIs, and data lakes.
 * Support BI integration with AWS-based data platforms.
 * Collaborate with data engineers on pipelines, models, and data architecture.
 * Document data definitions, workflows, and reporting logic.
 * Ensure solutions meet standards for control, auditability, and governance.

Data Quality & Workflow

 * Improve and monitor end-to-end data workflows.
 * Implement validation rules and data controls.
 * Investigate and resolve data quality issues.
 * Support data governance, lineage, and ownership practices.
 * Promote automation and reduce manual data handling.


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