Data Consultant - Data Engineer at Intuit

Liverpool, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

NoVisa

Telecoms, Insurance, Finance, MortgagesIndustries

Requirements

Solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server
Proficiency in SQL and Python languages
Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF)
Familiarity with building metadata driven pipelines
Knowledge of Azure Storage, Medallion Architecture, and working with data formats such as JSON, CSV, and Parquet
Strong understanding of IT concepts, including security, IAM, Key Vault, and networking
Familiarity with agile principles and practices
Experience with Azure DevOps pipelines
Exposure to Apache Airflow and DBT (bonus)
Certification in Azure or related technologies (nice to have)
Experience with other cloud platforms (e.g., AWS, Google Cloud) (nice to have)
Knowledge of big data technologies (nice to have)
Familiarity with data governance and compliance (nice to have)
Experience in BigQuery (GCP), data modelling in DBT, and mobile/telecoms industry (beneficial for Analytics Engineering lean)

Responsibilities

Develop and maintain data pipelines using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation
Perform data modelling using Kimball, 3NF or Dimensional methodologies
Utilize SQL and Python to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server
Design and implement metadata driven pipelines to automate data processing tasks
Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions
Ensure data quality, integrity, and security throughout the data pipeline
Troubleshoot and resolve any issues or errors in the data pipelines
Stay updated with the latest Azure technologies and industry best practices to continuously enhance data engineering capabilities
Ingest large data sets for clients, involving data pipeline design, integration, and transformation into models for downstream consumption

Skills

Azure Data Factory

Data Pipelines

Data Ingestion

Data Integration

Data Transformation

Data Modeling

Intuit

Financial software for tax and accounting

About Intuit

Intuit provides financial technology solutions designed to assist consumers and small businesses with their financial needs. Its main products include TurboTax for tax preparation, QuickBooks for accounting, and Mint for personal finance management. These tools help users manage their finances effectively by simplifying complex tasks like filing taxes, tracking expenses, and budgeting. Intuit stands out from its competitors by offering a subscription-based model along with transaction fees, which allows for continuous updates and support for its users. The company's goal is to empower individuals and small businesses to achieve financial success through education and user-friendly experiences, while ensuring the security of their financial data.

Mountain View, CaliforniaHeadquarters

1983Year Founded

$11.7MTotal Funding

IPOCompany Stage

Fintech, Cybersecurity, Financial ServicesIndustries

10,001+Employees

Risks

Emerging fintech companies like CoinTracker pose competition in the tax preparation market.

Acquisition of SeedFi may lead to increased regulatory scrutiny in financial services.

Integration challenges from Zendrive acquisition could cause operational disruptions if not managed well.

Differentiation

Intuit offers a comprehensive suite of financial tools including TurboTax, QuickBooks, and Mint.

The company focuses on data security with multi-factor authentication and anti-fraud technology.

Intuit fosters innovation and diversity, enhancing user experience and financial education.

Upsides

Acquisition of SeedFi expands Intuit's reach to low-credit consumers in underserved markets.

Integration of Zendrive enhances data analytics for personalized and secure financial solutions.

Growing institutional investments indicate strong market confidence and potential stock value appreciation.

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