senior data engineer

EXPRESSIONS LEARNING RESOURCES PRIVATE LIMITED

Job Title: Senior Data Engineer (Databricks Specialist) Role Overview We are seeking a seasoned Senior Data Engineer to lead the design, implementation, and optimization of our data platform using Databricks. You will be responsible for building scalable data pipelines while ensuring the highest standards of Data Governance and security. The ideal candidate isn't just a coder; they are an architect of data ecosystems who understands how to manage data at scale while maintaining strict Role-Based Access Control (RBAC). Key Responsibilities Pipeline Development: Design and build complex, high-volume ETL/ELT pipelines using Spark (PySpark/Scala) and Databricks Delta Live Tables (DLT). Lakehouse Architecture: Transition and maintain data structures within the Medallion Architecture (Bronze/Silver/Gold) to ensure data quality and reliability. Security &amp; Compliance: Implement and manage Unity Catalog for fine-grained data governance, lineage, and discovery. Access Management: Define and enforce Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) to secure sensitive datasets. Performance Tuning: Optimize Spark jobs, cluster configurations, and SQL warehouses to reduce latency and cloud costs. Mentorship: Act as a technical lead, conducting code reviews and guiding junior engineers on Databricks best practices. Required Qualifications Category Requirement Total Experience 7&ndash;8+ years in Data Engineering or Big Data environments. Databricks Core 3&ndash;5 years of hands-on experience specifically with the Databricks platform. Technical Stack Proficiency in Python/PySpark, SQL, and Spark optimization techniques. Data Governance Expert knowledge of Unity Catalog, data masking, and row/column level security. Cloud Platforms Experience deploying Databricks on Azure, AWS, or GCP (please specify your preference). DevOps/MLOps Familiarity with Databricks Repos, Workflows, and CI/CD integration. Preferred Skills Databricks Certifications: (e.g., Data Engineer Professional or Cloud Provider specific certifications). Streaming: Experience with Structured Streaming or Event Hubs/Kafka. IaC: Knowledge of Terraform for managing Databricks workspaces and clusters.Job Type: Full-timePay: Up to ₹3,500,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data engineer : 7 years (Required)</li><li>Databricks: 3 years (Required)</li><li>Python/PySpark: 3 years (Required)</li><li>Unity catalog: 3 years (Required)</li><li>Azure, AWS or GCP: 3 years (Required)</li></ul>Language:<ul><li>Hindi (Required)</li></ul>Work Location: In person

Senior Data Engineer

Talentspot Solutions

Senior Data Engineer (Lead)Bengaluru, Karnataka Full-Time | Hybrid (3 Days Office / 2 Days Remote) Experience Required: 6&ndash;8 YearsJob SummaryWe are looking for a highly skilled Senior Data Engineer (Lead) to drive large-scale data modernization and analytics transformation initiatives. The ideal candidate will be a hands-on technical leader with strong expertise in Databricks, Apache Spark, Python, and AWS.You will lead the migration from legacy data platforms to a modern Lakehouse architecture while ensuring high performance, scalability, and enterprise-grade data governance.Key Responsibilities<ul><li>Design and implement scalable data architecture using Databricks and Apache Spark</li><li>Lead migration from legacy warehouse platforms to Lakehouse architecture</li><li>Develop robust ETL/ELT pipelines using Python and advanced SQL</li><li>Build batch and real-time data pipelines using Spark, Kafka/Kinesis</li><li>Optimize performance, storage formats, and data models</li><li>Implement orchestration using Apache Airflow</li><li>Manage CI/CD pipelines and infrastructure using Jenkins and Terraform</li><li>Ensure enterprise data governance, lineage, and KPI alignment</li><li>Implement monitoring, observability, and SLA frameworks</li><li>Mentor and guide senior and mid-level engineers</li></ul>Required Skills &amp; Qualifications<ul><li>6&ndash;8+ years of experience in Data Engineering</li><li>Strong hands-on expertise in Databricks and Apache Spark</li><li>Advanced Python programming skills</li><li>Strong SQL knowledge (complex joins, window functions, performance tuning)</li><li>Solid AWS experience (S3, Lambda, EMR)</li><li>Experience with Kafka, Kinesis, or Spark Streaming</li><li>Knowledge of Docker and Kubernetes</li><li>Experience with Terraform or CloudFormation</li><li>Strong communication and stakeholder management skills</li></ul>Preferred Certifications (At least one required)<ul><li>Databricks Certified Data Engineer &ndash; Professional</li><li>AWS Solutions Architect &ndash; Associate or Professional</li></ul>Additional Requirements<ul><li>Immediate to 30 days&rsquo; notice period preferred</li><li>Minimum 1.5 years tenure with previous employers</li><li>Local candidates preferred</li><li>Comfortable working in a hybrid model</li><li>Ability to work with US-based stakeholders (late evening overlap required)</li></ul>Job Type: Full-timePay: From ₹2,400,000.00 per yearApplication Question(s):<ul><li>How many years of hands-on experience do you have in Data Engineering</li><li>Do you have 6 to 8 years of experience in Data Engineering, distributed systems, and platform architecture with clear technical ownership</li><li>Have you maintained a minimum tenure of 1.5 years with each previous employer</li><li>How many years of hands-on experience do you have with Databricks</li><li>How many years of experience do you have working with Apache Spark</li></ul>Work Location: In person

Mukizh Fashions

Job Title: Senior Data EngineerLocation: Chennai (Onsite) Job Type: Full-Time Experience Required: 5+ Years and 3+ YrsPosition OverviewWe are seeking a Senior Data Engineer to lead the design and development of scalable data architecture, including robust ETL/ELT pipelines and business-critical analytics dashboards.This role is ideal for a highly skilled Python professional who can transform complex, raw datasets into reliable, high-performance analytical systems. You will play a key role in building the data foundation that drives strategic business decisions.Key Responsibilities<ul><li>Design and maintain scalable ETL/ELT pipelines</li><li>Develop and optimize data services using Python</li><li>Architect and manage data workflows across warehouses</li><li>Optimize database performance and complex queries</li><li>Support exploratory data analysis and reporting initiatives</li><li>Build and maintain business-critical dashboards</li><li>Ensure data integrity, performance, and reliability</li></ul>Technology StackProgramming: Advanced Python (FastAPI, Pydantic, SQLAlchemy) Databases: PostgreSQL, MongoDB (Optimization &amp; Querying) Data Warehousing: BigQuery, Snowflake Analytics &amp; BI: Metabase, Exploratory Data Analysis (EDA) Data Pipelines: Complex ETL/ELT workflowsCandidate Profile<ul><li>5+ years and 3+ Yrs of experience in Data Engineering / Data Science Engineering</li><li>Strong hands-on expertise in advanced Python development</li><li>Experience designing scalable ETL/ELT workflows</li><li>Deep understanding of database optimization and query tuning</li><li>Experience working with modern data warehouses</li><li>Strong analytical mindset and attention to detail</li><li>Ability to thrive in fast-paced, high-release environments</li></ul>Why Join Us?This is a high-ownership role where you will design and build the data systems that power real business outcomes. You will not just run models &mdash; you will create the infrastructure that makes them possible.How to ApplyInterested candidates can send their updated resume to madhn@revolite.io.Job Types: Full-time, PermanentPay: Up to ₹1,500,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Work Location: In person

Information Technology Senior Management Forum

<div><div>Posted Date
2/27/2026
</div><div>Description
<div>Senior Data Engineer
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You&rsquo;ll Do:<ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 3 years of experience in application development (Internship experience does not apply)</li><li>
At least 1 year of experience in big data technologies</li></ul>
Preferred Qualifications:<ul><li>
5+ years of experience in application development including Python, SQL, Scala, or Java</li><li>
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li><li>
2+ year experience working on real-time data and streaming applications</li><li>
2+ years of experience with NoSQL implementation (Mongo, Cassandra)</li><li>
2+ years of data warehousing experience (Redshift or Snowflake)</li><li>
3+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>
2+ years of experience with Agile engineering practices</li></ul> 
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $161,800 - $184,600 for Senior Data Engineer 

Richmond, VA: $147,100 - $167,900 for Senior Data Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Data Engineer
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You&rsquo;ll Do:<ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 3 years of experience in application development (Internship experience does not apply)</li><li>
At least 1 year of experience in big data technologies</li></ul>
Preferred Qualifications:<ul><li>
5+ years of experience in application development including Python, SQL, Scala, or Java</li><li>
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li><li>
2+ year experience working on real-time data and streaming applications</li><li>
2+ years of experience with NoSQL implementation (Mongo, Cassandra)</li><li>
2+ years of data warehousing experience (Redshift or Snowflake)</li><li>
3+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>
2+ years of experience with Agile engineering practices</li></ul> 
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $161,800 - $184,600 for Senior Data Engineer 

Richmond, VA: $147,100 - $167,900 for Senior Data Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
161,800.00 - 184,600.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Expleo Group

Senior/Lead Data Engineer with 7+ years of experience to lead our data engineering team, driving the design and implementation of modern, scalable, and secure data pipelines. The ideal candidate has deep expertise in cloud data platforms (AWS/GCP/Azure) and is passionate about transitioning from legacy to modern ELT/Lakehouse architectures.<ul><li>Develop, construct, test, and maintain data pipelines using enterprise level architectures &amp; standards.</li><li>Data acquisition through ETL &amp;ELT processes.</li><li>Develop data set processes using structured, semi-structured and unstructured data types.</li><li>Identify ways to improve data reliability, efficiency, and quality.</li><li>Prepare data for predictive and prescriptive modelling.</li><li>Manage data using real-time and batch based tools and technologies.</li><li>Develop and manage data validation and reconciliation processes.</li><li>Develop , manage and track pipelines and their stability.</li><li>Good knowledge in analytics, ETL concepts and Data Visualization.</li><li>Good to understand and communicate effectively with stakeholders.</li><li>Need to be a good team player.</li><li>Key knowledge in Data Analysis, Data Cleansing, Data Mining and Management techniques and processes.</li><li>Good in Problem Solving and Critical Thinking techniques.</li><li>Knowledge in statistics, ML and Data Science technologies would be an advantage.</li><li>Should have experience in Big Data Technologies like Hadoop, Hive, KAFKA, SPARK, Sqoop and Zeppelin.</li><li>Knowledge in Cloud tools like ADF, Glue and other relevant ETL tools would be an advantage</li></ul>Job Type: PermanentWork Location: In person

redef9skiLLs

The Data Engineering function is expanding across ingestion, integration, transformation,and consumption capabilities to deliver high-impact data products that transform how theorganization leverages data. The Data Engineering and Platforms team is seeking anexperienced Senior Data Engineer to provide technical leadership and expertise to internaland partner teams working within an enterprise data ecosystem.This role will be instrumental in shaping technical roadmaps, defining best practices, andcontributing to architectural decisions to drive innovation at scale.The position demands deep technical expertise, strong problem-solving skills, andarchitectural understanding across data engineering initiatives. It requires closecollaboration with architects and business stakeholders to contribute to enterprise-widedata engineering strategies, ensuring scalable, resilient, and cost-optimized data solutions.Key Responsibilities<ul><li>Lead the technical design and hands-on development of scalable, high-performance data</li></ul>platforms and solutions.<ul><li>Drive business impact through data-driven decision-making.</li><li>Define and implement enterprise data architecture principles.</li><li>Modernize legacy data products to modern data architectures.</li><li>Establish technical governance, standards, and frameworks.</li><li>Mentor junior engineers and provide hands-on technical guidance.</li><li>Architect and optimize data pipelines across Azure, Databricks, and GCP.</li><li>Ensure data security and regulatory compliance.</li><li>Collaborate with cross-functional teams in Agile delivery.</li><li>Drive proof-of-concepts and pilot implementations.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science or equivalent.</li><li>4&ndash;7 years of enterprise data engineering experience.</li></ul>Additional Skills<ul><li>Azure Data Factory, Databricks, GitHub, CI/CD</li><li>DataOps, DevSecOps, SQL/NoSQL</li><li>Strong communication and mentoring skills</li></ul>Job Type: Full-timePay: ₹1,500,000.00 - ₹2,400,000.00 per yearWork Location: In person

Barclays

<div>Join us as a Senior 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 Data Engineer, you should have experience with:
Key Responsibilities:<ul><li>
Design, develop, and optimize end-to-end data pipelines using Ab Initio and SQL</li><li>
Build scalable batch and/or streaming data processing solutions</li><li>
Develop and tune complex SQL and PLSQL queries, procedures, and packages</li><li>
Perform data ingestion, transformation, validation, and reconciliation</li><li>
Design and implement data pipeline frameworks and reusable components</li><li>
Leverage Salesforce &amp; AWS services for cloud-based data solutions</li><li>
Ensure data quality, performance, scalability, and security best practices</li><li>
Collaborate with business analysts, data architect, and downstream consumers</li><li>
Troubleshoot production issues and perform root cause analysis</li><li>
Mentor junior data engineers and review code/designs</li><li>
Contribute to data design &amp; data discussions on solutions</li></ul>
Technical Skills:<ul><li>
Strong hands-on experience with Ab Initio ETL</li><li>
Advanced knowledge of SQL and PLSQL</li><li>
Proficiency in Shell Scripting (Unix/Linux)</li><li>
Experience as a Data Pipeline Designer</li><li>
Experience with large-scale data warehousing and data lakes</li><li>
Understanding of data modeling, metadata, and data governance concepts</li></ul>
Soft Skills:<ul><li>
Strong problem-solving and analytical skills</li><li>
Excellent communication and stakeholder management</li><li>
Ability to work independently and lead technical initiatives</li><li>
Mentoring mindset and team-first attitude</li></ul>
Leadership &amp; Collaboration:<ul><li>
Ability to mentor junior team members</li><li>
Strong communication skills for stakeholder management</li><li>
Experience working in cross-functional agile teams</li><li>
Capability to provide technical guidance and best practices</li></ul>
Problem-Solving &amp; Innovation:<ul><li>
Analytical thinking and complex problem-solving abilities</li><li>
Proactive approach to identifying data migration improvements</li><li>
Innovation mindset for implementing new engineering technologies</li><li>
Self-motivated with ability to work independently</li></ul>
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.

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<ul><li>
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.</li><li>
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.</li><li>
Development of processing and analysis algorithms fit for the intended data complexity and volumes.</li><li>
Collaboration with data scientist to build and deploy machine learning models.</li></ul>
Analyst Expectations<ul><li>
To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.</li><li>
Requires in-depth technical knowledge and experience in their assigned area of expertise</li><li>
Thorough understanding of the underlying principles and concepts within the area of expertise</li><li>
They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.</li><li>
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 &ndash; Listen and be authentic, E &ndash; Energise and inspire, A &ndash; Align across the enterprise, D &ndash; Develop others.</li><li>
OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.</li><li>
Will have an impact on the work of related teams within the area.</li><li>
Partner with other functions and business areas.</li><li>
Takes responsibility for end results of a team&rsquo;s operational processing and activities.</li><li>
Escalate breaches of policies / procedure appropriately.</li><li>
Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.</li><li>
Advise and influence decision making within own area of expertise.</li><li>
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.</li><li>
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.</li><li>
Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.</li><li>
Make evaluative judgements based on the analysis of factual information, paying attention to detail.</li><li>
Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.</li><li>
Guide and persuade team members and communicate complex / sensitive information.</li><li>
Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.</li></ul>
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship &ndash; our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset &ndash; to Empower, Challenge and Drive &ndash; the operating manual for how we behave.</div>

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