Data Engineer - BA4

Job Description

Purpose of the role

To define strategic group objectives of and internal functions including, financial and business strategy, and mergers and acquisitions.

Accountabilities

• Development and execution of acquisition, disposal and strategic partnership activities, and other strategic transactions on behalf of the Barclays Group, including the identification of potential acquisition targets, building an acquisition pipeline and identifying non-core businesses and/or assets that can sold to generate value through disposal analysis, as well as maintaining an active coverage model with key internal and external stakeholders.
• Monitoring and evaluation of the financial performance, market position and strategic fit of potential acquisition and partnership targets. Including (but not limited to) detailed valuation, returns, profitability and cost analysis.
• Development of business cases for potential acquisitions, including financial projections, strategic rationale, and synergy assessments.
• Collaboration across departments to develop deal structures that align to the banks objectives to negotiate deals with potential acquisition targets.
• Management and communication of post-merger integration plans and processes, including culture, operations, and systems.
• Identification of industry trends and developments related to M&A tools and techniques by attending conferences, conducting market research, and participating in training.
• Maintain close dialogue to group strategy, understand the firms' ambitions and market commitments, understand equity analyst's expectations on the firms and how acquisition and disposal activity can provide appropriate levers and dials.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Join us as a Data Engineer at Barclays, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.

To be successful as a Senior Software Engineer, you should have experience with:

• Overall experience in data engineering, analytics engineering, process mining, business intelligence, data warehousing, or enterprise data platforms.
• Hands-on experience with Celonis, including Data Integration, Data Pools, Data Models, Transformations, Analyses, and Process Mining use cases.
• Strong SQL expertise, including complex joins, window functions, performance tuning, incremental loading, and data quality validation.
• Strong understanding of Celonis Process Query Language (PQL), process mining concepts, event logs, activity tables, case tables, and KPI modelling.
• Experience building scalable data pipelines into Celonis from enterprise systems using connectors, APIs, databases, or scheduled data extracts.
• Good understanding of banking and financial services processes, including KYC, client onboarding, lending, payments, operations, reconciliation, complaints management, risk controls, and regulatory reporting.
• Experience with relational databases and enterprise or cloud data platforms such as PostgreSQL, Oracle, SQL Server, Snowflake, BigQuery, AWS, and Azure.
• Ability to analyse source system data structures and translate business process logic into reliable Celonis data models.
• Strong troubleshooting skills across data load failures, transformation issues, performance bottlenecks, and data inconsistencies.
• Experience working in Agile delivery environments, including documentation, backlog refinement, sprint execution, and stakeholder demonstration.

Some other highly valued skills may include:

• Celonis certification in Data Engineering, Process Mining, EMS, or related learning tracks.
• Experience with Object-Centric Process Mining and Celonis process intelligence capabilities.
• Exposure to Python, Java, REST APIs, ETL tools, orchestration tools, and automation platforms.
• Experience in enterprise governance, production support, incident management, access management, and release management.
• Knowledge of banking technology controls, data privacy, information security, and audit requirements.
• Experience working with cross-functional teams across business, technology, architecture, compliance, and operations.
• Ability to create reusable data engineering patterns, templates, and accelerators for multiple business processes.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

The role is based out of Pune.