Data Engineer

Описание вакансии

Data Engineer

Full-time/Company: Bcbgroup

We are seeking a highly motivated and detail-oriented Data Engineer to join our dynamic Data and Analytics team. Reporting to the Head of Data and Analytics, you will play a pivotal role in transforming raw data into actionable insights that drive strategic business decisions. 

Key Responsibilities:

Data Integration and Management:

Integrate multiple data sources into our cloud-based Data Warehouse, ensuring data consistency and integrity.

Design and implement robust ETL processes for data ingestion, transformation, and loading.

Ensure data security and compliance within cloud environments, adhering to industry best practices.

Data Modelling and Visualisation:

Develop and maintain data models.

Create dashboards and visualisations using data visualisation tools.

Proactively identify reporting needs and deliver high-quality reports to stakeholders.

Automation of Business Processes using no-code \ low-code tools:

Partner with business teams to help automate parts of their workflow.

Stakeholder Engagement and Analysis:

Collaborate with stakeholders across various business functions to understand their analytical needs and provide data-driven solutions.

Respond to data queries and requests, providing accurate and timely information.

Translate loosely defined requirements into clear and actionable solutions.

Analyse data issues, identify root causes, and propose effective solutions.

Regulatory Reporting and Compliance:

Prepare and deliver accurate and timely regulatory reports.

Ensure compliance with relevant data regulations and standards.

Data Quality and Governance:

Implement and enforce data quality standards and procedures.

Ensure information is presented in a transparent, complete and unambiguous manner.

Development and Testing:

Produce high quality code utilising multiple layers of testing.

What are we looking for

Essential Skills and Experience

• 3+ years of experience in a data-related field.
• Advanced proficiency in SQL.
• Advanced proficiency in Google Sheets (or Excel).
• Strong understanding of the ETL process.
• Experience with data ingestion, transformation, and dashboard creation.
• Strong analytical and problem-solving skills.
• Exceptional attention to detail and a commitment to data quality.
• Strong business acumen and understanding of business processes.
• Excellent communication and interpersonal skills, with the ability to translate technical concepts to non-technical audiences.  
• Self-motivated and inquisitive, with a passion for continuous learning and performance improvement.
• Ability to present information in a transparent, complete and unambiguous manner.

Desired Skills and Experience:

• Experience with data modelling tools (e.g., dbt).
• Experience with data visualization platforms (e.g., Looker, Thoughtspot).
• Experience with no-code\low-code tools (e.g., n8n).
• Proficiency in version control systems (e.g., git).
• Programming skills in Python, R, or TypeScript.
• Experience in the Payments, FinTech, Banking, or Cryptocurrency industry.
• Knowledge of statistical concepts.
• Familiarity with cloud platforms, preferably Google Cloud Platform (GCP).
• A degree in a relevant field (e.g., Computer Science, Business, Economics, Statistics).

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