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Adecco

Azure Databricks Data Lake Deployment Squad Lead

Adecco London (4 km)
987 to 1,000
32 - 40 hour

Veolia

HGV Technician

Veolia London (4 km)
50,299
32 - 40 hour

Adecco

Connect to Work Lead

Adecco London (4 km)
23.20 to 30.29
32 - 40 hour


Stroke

Support Coordinator

Stroke London (4 km)
28,300
32 - 40 hour

M

Cyber Security Lead

Morgan Law London (4 km)
58,000 to 60,000
32 - 40 hour

Tradewind Recruitment

Pastoral Support Assistant

Tradewind Recruitment London (4 km)
100 to 115
32 - 40 hour

Imperial War Museums

Research and Knowledge Exchange Manager

Imperial War Museums London (4 km)
42,500 to 45,000
32 - 40 hour

Fortus Recruitment Group

Painter and Decorator

Fortus Recruitment Group London (4 km)
20 to 23
32 - 40 hour

Fuel Recruitment Limited

Field Services Engineer

Fuel Recruitment Limited London (4 km)
35,000 to 40,000
32 - 40 hour

Third Nexus Group Limited

Full Stack Developer

Third Nexus Group Limited London (4 km)
325 to 350
32 - 40 hour

Fawkes & Reece London

Site Manager

Fawkes & Reece London London (4 km)
270 to 280
32 - 40 hour

Tradewind Recruitment

Graduate Teaching Assistant

Tradewind Recruitment London (4 km)
95 to 100
32 - 40 hour

Hays Technology

Software Engineering Tech Lead / Manager - Java

Hays Technology London (4 km)
550 to 700
32 - 40 hour

Hays Technology

Software Engineering Manager - Java, Javascript, Cloud

Hays Technology London (4 km)
700 to 900
32 - 40 hour

Hamilton Mayday

Demi Chef de Partie- Private Members Club

Hamilton Mayday London (4 km)
34,000 to 35,000
32 - 40 hour
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Adecco
Azure Databricks Data Lake Deployment Squad Lead
Adecco London (4 km)
987 to 1,000
32 - 40 hour
Status Open
Apply now

Apply on the employer's website


What we ask

Education

No minimum education required

What we offer

Salary
£987 to £1,000
Hours
32 to 40 hours per week
Employment type
contract

Job description

Azure Databricks Data Lake Deployment Squad Lead** (Contract)

Duration: Up until 31 March 2026 (Possibility for extension)

Location: London/Hybrid (3 days per week on site)

Rate: A highly competitive Umbrella Day Rate is available for suitable candidates

Role Profile

This role will manage a scrum team that will ingest data required for the ECB Onboarding program into the EMEA Data Platform with a focus on data required by the EUAG Finance Department.

Key Responsibilities:

Facilitate efficient and effective software delivery from inception to go-live for the EMEA Data Platform, primary focus will be running multi skilled scrum team including business, data office, and technical staff.
Work with the Product Owners, business stakeholders, data modellers, data engineers, testers and Data Office to deliver a well-planned pipeline of data sets.
Agree priorities with stakeholders.
Use scrum techniques to deliver data requirements within a scrum of scrum structure and drive effective outcomes each sprint.
Ensure risks are well managed and issues are resolved.
Remove blockers to progress of the scrum team and track progress within sprints.
Responsible for effective and efficient running of Software Development Scrums consisting of Developers, Testers, Business Analysts and other stakeholders.
Ensure that everyone on the team understands goals, scope, estimates and burndown charts of each iteration.
Maintain product backlog and agree prioritisation with senior stakeholders.
Identify and remove obstacles so that the team members can focus on their immediate tasks.
Keep stakeholders up to date via direct communications, tailored reports and JIRA dashboards.
Ensure the creation of meaningful MI to allow for transparency.
Escalate any serious challenges to scope, timelines and budget to senior management.

Key Requirements:

Broad and deep understanding of data utilised in a corporate investment bank. Especially in Finance departments and for their reporting
Core Agile methodology experience (Scrum, Scrum of Scrums)
Experience with using Atlassian JIRA
Ability to handle communications at all levels from across the whole business.
Experience and understanding of a Banking Environment, Product range and associated opportunities and risks
Excellent analytical and problem-solving skills
Ability to work collaboratively in a team environment, share ideas, and contribute to group discussions.
Attention to detail and a commitment to producing high-quality work with a focus on accuracy and precision.
Proven ability to work independently on large scale projects.
Experience working with off shore resources.
Exposure to concepts like Data Lakehouse and Medallion Architecture, especially with Databricks as the underlying technology.

Candidates will need to show evidence of the above in their CV in order to be considered.

If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team.

We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention
Salary description

£987.00 - £1000.00 per day

Apply now

Apply on the employer's website

Apply now

Apply on the employer's website


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