IFC - Data Engineer at Barclays

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

0.0

Posted On

18 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Pipeline Engineering, Data Systems Design, Data Management, Database Skills, Data Processing, Programming, Scripting, Data Governance, Security Controls, Relational Databases, Storage Models, Data Movement, Python, Shell Scripting, SQL

Industry

Banking

Description

Job Description Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. 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. At Barclays, we don’t just adapt to the future – we create it. Join us as an "IFC-Data Engineer" at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. To be successful in this role, you must have: Strong Data Architecture & Pipeline Engineering. Proficiency in Data Systems Design & Management. Database and Data Processing skills. Programming and Scripting proficiency. Understanding of Data Governance and Security Controls. Experience with relational databases (Oracle/MS-SQL/MongoDB, etc). Proficiency in database structures and designing storage models for scalability and performance. Strong understanding of data architecture, data systems design, data movement, and data governance. Scripting using any scripting languages like Python/ Shell scripting/SQL, etc. Understanding data privacy, data governance, and secure system design. Some other highly valued skills may include: Familiarity with DevOps and CI-CD concepts. Ability to collaborate with Data Scientists to build and deploy ML models. Experience with DQ frameworks and data governance dashboards. Experience with cloud (AWS/GCP/Azure) and cloud‑native data services. Comfort with technologies such as React, OpenShift, DevOps, etc. You may be assessed on the 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. This role is for Pune Location. Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

Responsibilities

The role involves building and maintaining systems for data collection, storage, processing, and analysis, including data pipelines, warehouses, and lakes to ensure data accuracy, accessibility, and security. Accountabilities include designing and implementing data architectures, developing processing algorithms, and collaborating on machine learning model deployment.