Back to jobs

Senior Data Engineer with Snowflake - Market Data Platform

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Build and maintain data pipelines that transfer and process durable, complete, consistent data

  • Design and implement data warehouses and data lakes with required security measures

  • Develop processing and analysis algorithms suited to data complexity and volume

  • Collaborate with data scientists to build and deploy machine learning models

From the employer’s posting
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.
Apply at Barclays

Posting record

Report an error

Open 5 monthsWe first saw this posting 175 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 24, 2026175 days ago
Recorded sightings
311
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 175

Up longer than most. Similar jobs usually come down between day 6 and day 56.

Well past Barclays’s usual: its jobs come down by about day 29.

From 13,745 similar postings that came down, and 322 of Barclays’s. Coming down is not always a hire.

Barclays is hiring

40 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring has slowed
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • AWS
  • Databricks
  • Iceberg
  • S3
  • Snowflake
  • Airflow
Where the posting names them
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:
- 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:
Some other highly valued skills may include: - Demonstrable experience with Databricks - Experience with Apache Airflow for orchestrating and scheduling complex data workflows
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
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
- 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
- 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

Your next step

Complete your application on barclays.wd3.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.


#LI-Hybrid

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Gemini Building A, Prague

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. #LI-Hybrid
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.