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Barclays

Senior Data Engineer with Snowflake - Market Data Platform

Barclays is hiring a Senior Data Engineer with Snowflake - Market Data Platform in Prague, Czechia. Level rates it ; you can apply on Barclays.

Level's read on this job

  • On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Databricks, Snowflake and Python.
  • Level classifies it as a senior role.
  • Level lists 607 other open roles at Barclays.

AI in this role

Build and maintain data pipelines and data warehouses while occasionally collaborating with data scientists on machine learning models.

DatabricksSnowflakePython
data-warehousingetldata-pipelines
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.

Vice President Expectations

  • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
  • If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
  • 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 will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
  • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
  • Manage and mitigate risks through assessment, in support of the control and governance agenda.
  • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
  • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
  • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
  • Adopt and include the outcomes of extensive research in problem solving processes.
  • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

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 Senior Data Engineer with Snowflake - Market Data Platform at Barclays, where you'll enable and accelerate the Markets data strategy by building and scaling a new market data platform with real business impact, leveraging Snowflake, Databricks, Airflow, and AWS to deliver governed, high‑quality data at enterprise scale.

To be successful as a Senior Data Engineer with Snowflake - Market Data Platform, you should have:

  • Extensive experience with Snowflake, including data sharing, secure views, and multi-tenant platform design in an enterprise environment
  • Considerable skills in Snowflake database architecture, compute management, and entitlements design to support governed data distribution at scale
  • Experience in sourcing, onboarding, and cataloguing data from third-party vendors (e.g. licensed market data) for controlled internal redistribution
  • Solid working knowledge of AWS cloud services (S3, IAM, Glue, Athena, Lake Formation, CloudFormation) and Apache Iceberg table format for open, interoperable data lakehouse patterns

Some other highly valued skills may include:

  • Demonstrable experience with Databricks
  • Experience with Apache Airflow for orchestrating and scheduling complex data workflows
  • Familiarity with machine-readable metadata standards and how they can be leveraged for automated data cataloguing and classification
  • Ability and willingness to collaborate with diverse internal teams across technology, business, and vendor management functions

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 will be based in our Prague office.

Entry Salary: Kč 1,884,000.00

Upper Salary: Kč 2,496,000.00

The entry and upper salary information above includes only annual full-time equivalent base salary and represents the typical range of pay for the role. The actual pay rate will reflect the responsibility level of the role and experience level of the individual. The entry and upper salary information does not include any other type of compensation or benefits that may be available.

Barclays employees are also eligible for a suite of competitive country-specific benefits.

This position is eligible for an incentive award.

How we rate this

Senior Data Engineer with Snowflake - Market Data Platform at Barclays rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data WarehousingETLData PipelinesDatabricksSnowflakePython

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$147k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where data warehousing was part of your work. What did you do?
  2. Tell me about a project where etl was part of your work. What did you do?
  3. Tell me about a project where data pipelines was part of your work. What did you do?
  4. What's a project where you used Databricks hands-on?
  5. Walk me through how you've used Snowflake in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Warehousing, ETL, Data Pipelines, Databricks, and Snowflake. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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