Lead Data Strategy Engineer at Barclays | England, GB | Rezi

Lead Data Strategy Engineer at Barclays

Lead Data Strategy Engineer

Barclays · England, GB

3 days ago

Lead Data Strategy Engineer

Barclays · England, GB

3 days ago
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About the Role

This role is responsible for driving data standardization, developing and implementing data strategies, promoting the adoption of strategic data platforms, and ensuring a consistent approach to data management and analytics. The successful candidate will translate platform capabilities into measurable business outcomes, improve data quality and efficiency, and support the delivery of scalable, long-term solutions.

Responsibilities

  • Identification, collection, and extraction of data from various sources.
  • Performing data cleaning, wrangling, and transformation to ensure data quality.
  • Development and maintenance of efficient data pipelines for automated data acquisition and processing.
  • Design and conduct of statistical and machine learning models to analyze patterns, trends, and relationships.
  • Development and implementation of predictive models to forecast future outcomes.
  • Collaborate with business stakeholders to identify opportunities to add value through Data Science.
  • Contribute or set strategy, drive requirements, and make recommendations for change.
  • Plan resources, budgets, and policies.
  • Manage and maintain policies and processes.
  • Deliver continuous improvements.
  • Escalate breaches of policies and procedures.
  • Advise key stakeholders on functional and cross-functional areas of impact and alignment.
  • Manage and mitigate risks through assessment.
  • Demonstrate leadership and accountability for managing risk and strengthening controls.
  • Demonstrate comprehensive understanding of the organization functions to contribute to business goals.
  • Collaborate with other areas of work for business-aligned support.
  • Create solutions based on sophisticated analytical thought.
  • Adopt and include the outcomes of extensive research in problem-solving processes.
  • Seek out, build, and maintain trusting relationships and partnerships with stakeholders.
  • Drive data standardization across applications.
  • Promote the adoption of strategic data platforms.
  • Ensure a consistent approach to data management and analytics.
  • Translate platform capabilities into measurable business outcomes.
  • Improve data quality and efficiency.
  • Support the delivery of scalable, long-term solutions.

Requirements

  • Proven experience designing, developing, and supporting scalable data pipelines using AWS technologies (Glue, S3, Databricks).
  • Strong hands-on experience developing ETL processes for data extraction, transformation, and loading into data warehouses and data lakes.
  • Proven ability to develop and maintain data-driven applications and solutions using Python, SQL, and Databricks.
  • Proven experience designing, developing, and maintaining enterprise-scale applications using the .NET framework.
  • Strong hands-on experience writing, optimizing, and troubleshooting complex SQL queries, stored procedures, and database solutions within Microsoft SQL Server environments.
  • Demonstrable experience developing Tableau dashboards and reports.
  • Proven ability to engage, influence, and collaborate with business stakeholders to gather requirements, communicate technical solutions, and drive delivery outcomes.
  • Demonstrate leadership and accountability for managing risk and strengthening controls.
  • Demonstrate comprehensive understanding of the organization functions.
  • Collaborate with other areas of work.
  • Create solutions based on sophisticated analytical thought.
  • Adopt and include the outcomes of extensive research in problem-solving processes.
  • Seek out, build, and maintain trusting relationships and partnerships.
  • Demonstrate the Barclays Values: Respect, Integrity, Service, Excellence, and Stewardship.
  • Demonstrate the Barclays Mindset: Empower, Challenge, and Drive.

Skills

  • Data Analytics
  • Machine Learning
  • Data Pipelines
  • ETL Processes
  • Python
  • SQL
  • Databricks
  • .NET framework
  • Microsoft SQL Server
  • Tableau
  • Risk and Controls
  • Communication Skills
  • Stakeholder Management
  • Negotiating Skills

Location

  • London

Work Type

  • Full-time

Experience Level

  • Lead
  • Experienced

About the Company

  • Barclays is a global financial services provider engaged in retail banking, credit cards, corporate and investment banking, and wealth management services.