Senior Squad Lead – Data Engineering Job at T2M Resourcing (Newcastle)

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

Senior Backend Engineer (Platform and API)

We're looking for a senior backend engineer to join the Channels and Platform te...

Location

Salary:

156500.00 - 202300.00 USD / Year

Buffer

Expiration Date

Until further notice

Requirements

You have practical experience designing, implementing, and maintaining public APIs, plug-in ecosystems, or extensibility platforms
You have deep experience with modern stack — we use Node.js, TypeScript, GraphQL, and MongoDB
You’ve led backend projects from start to finish — shaping architecture, guiding trade-offs, and delivering reliable systems that support real-world product needs
You have strong systems thinking. You look beyond the immediate task, anticipate downstream effects, and help teams converge on architecture that supports the long game
You’ve worked across teams to drive platform or infrastructure improvements — whether simplifying service boundaries, improving observability, or evolving internal tooling
You’ve contributed to collaborative or multi-user product features, and you understand the data, consistency, and UX considerations that come with them
You’re fluent with modern AI tools — not just using them for code generation, but integrating them into how you debug, document, explore ideas, and reduce manual effort
You care about performance, scale, and clean abstractions — and know how to measure, prioritize, and improve them pragmatically
You’ve influenced engineering culture through code reviews, mentoring, or leading by example, and you’re comfortable being a resource for others on architectural decisions
You have a personal stake in the world of content creation

Job Responsibility

Be part of a small, dedicated squad within the Channels and Platform team responsible for Public API development
Lead the development of the backend systems for the Buffer Platform. This includes creating an API for core Buffer features, internal services to ensure Public API stability, availability, high performance, and developer tools for platform clients
Improve and evolve our internal systems — helping consolidate services into a monorepo, improve tooling and observability, and reduce complexity across the board
Collaborate closely with engineers, product, and design to scope work, explore trade-offs, and find the simplest path to something great
Make steady improvements to performance, reliability, and data modeling, helping us scale quality over time
Participate in on-call rotation (all engineers take on a 24/7 week-long shift once a quarter on average) and day-to-day maintenance work required to keep the lights on the systems owned by the team (this includes bug fixing, addressing security vulnerabilities, incident follow-ups, etc.)
Contribute to shaping our engineering culture by sharing knowledge, reviewing code, and leading by example

What we offer

Competitive salary
Work remotely
4-Day workweeks
Health insurance
Home office setup
Growth mindset fund
New laptop
Unlimited free books
AI tools stipend
Flexible time off

Fulltime

Principal Software Engineer

At Automata, we're on a mission to transform how scientists work by making autom...

Location

United Kingdom , London

Salary:

130000.00 - 170000.00 GBP / Year

Automata

Expiration Date

Until further notice

Requirements

12–18 years of professional software engineering experience, with deep backend and some platform focus
Strong expertise in Golang
comfortable reasoning about Python-based systems
Experience building products end-to-end, ideally including at least one built from scratch and scaled
Strong system design and distributed systems experience
Exposure to Kubernetes, containerisation, CI/CD, IaC, security, and modern delivery practices
Experience influencing and leading senior technical people
Prior CTO (at a startup), Principal Engineer, or equivalent senior technical leadership experience is a strong plus

Job Responsibility

Own architecture and technical direction
Define, evolve, and own the end-to-end technical architecture across our core platform and new products
Act as the final technical decision-maker on architecture, core technologies, and engineering approaches
Design systems that are scalable, resilient, secure, and adaptable as the business grows
Translate product vision and customer needs into clear technical strategy and executable roadmaps
Stay hands-on: contribute to critical designs, core platform modules, prototypes, and apply your coding skills where it matters most
Lead and multiply senior engineers
Lead, mentor, and influence Staff and Senior Staff Engineers (6 direct, ~16 indirect reports)
Help staff engineers lead their squads effectively, making better technical and organisational decisions
Structure teams and responsibilities to improve pace, ownership, and clarity

What we offer

Vitality Health Insurance
Eye Care
Salary Sacrifice - EV
Salary Sacrifice - Bike & Tech
Wellbeing & Support
Wellbeing & Development Allowance
Spill & Employee Assistance Programme
Additional Leave
Pension Scheme
Group Life & Critical Illness cover

Fulltime

Director of Data, ML & AI Engineering

As Director of Data, ML & AI Engineering, you will lead the design, delivery, an...

Location

United Kingdom , London

Salary:

Not provided

Collinson

Expiration Date

Until further notice

Requirements

Senior leadership experience across data, platform, ML, and/or AI engineering in enterprise or federated environments
Deep understanding of modern cloud-native data platforms, large-scale distributed systems, and emerging data technologies
Proven experience delivering and evolving enterprise-scale data and AI platforms from inception to production
Hands-on knowledge of ML/AI operationalisation, including pipelines, lifecycle management, and experimentation frameworks
Demonstrated capability managing cost, risk, security, and compliance at scale
Strong people leadership and team development experience, promoting inclusion, clarity, and accountability
Ability to translate complex technical concepts into business impact with senior stakeholders
A collaborative, adaptive leadership style that encourages openness, trust, and curiosity

Job Responsibility

Lead the design and evolution of enterprise-grade data, ML, and AI engineering platforms, covering ingestion, transformation, feature management, model pipelines, and deployment
Ensure platforms are resilient, scalable, and production-ready to support both analytics and AI workloads
Balance continuous innovation with operational reliability, service continuity, and business value
Lead multiple engineering squads across data, platform, ML, and AI engineering disciplines
Establish clear engineering standards, ownership models, and accountability frameworks
Embed modern delivery practices such as DevOps, DataOps, MLOps, and AIOps to improve reliability and speed
Champion operational excellence, predictable delivery, and effective incident management
Partner with the VP of Analytics and Head of Innovation & AI to align platform capabilities with insight delivery, experimentation, and AI productisation
Provide high-quality, governed, production-ready data products and shared tools that empower analytics and AI teams
Accelerate time to value through automation, reusable patterns, and scalable platform abstractions

Member of Technical Staff, Infrastructure Data & Analytics

We are seeking experienced Infrastructure Data & Analytics Engineers to join our...

Location

United States , Multiple Locations; Mountain View; San Francisco Bay area; New York City metropolitan area

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, or related technical field AND 8+ years technical engineering experience with data engineering, analytics, or data science, with increasing technical ownership in startup environment AND 6+ years experience with distributed data processing frameworks and large-scale data systems
OR equivalent experience
Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with technical engineering experience with data engineering, analytics, or data science, with increasing technical ownership in startup environment AND 10+ years experience with distributed data processing frameworks and large-scale data systems
OR equivalent experience
Proven technical leadership in data engineering, analytics platforms, or large-scale telemetry systems
Hands-on experience with ETL orchestration frameworks such as Airflow, Dagster, or similar
Strong communication skills
can explain complex systems clearly to senior leader

Job Responsibility

Act as the technical lead and owner for infrastructure analytics across compute, storage, and networking
Design and build durable, scalable data pipelines that ingest telemetry from clusters, schedulers, health systems, and capacity trackers into Data Warehouse
Define and standardize core metrics and semantics (e.g., utilization, occupancy, MFU, goodput, capacity readiness, delivery-to-production)
Architect and maintain self-service dashboards and APIs for fleet, cluster, and squad-level visibility
Partner closely with stakeholders across Supercomputing Infra, Researchers, Strategy and Executives to ensure metrics reflect operational and business reality
Implement robust and fault-tolerant systems for data ingestion and processing
Lead data architecture and engineering decisions, applying strong technical judgment to proactively shape executive-level discussions and decisions
Identify data gaps and instrumentation issues
drive fixes by influencing upstream engineering teams
Establish data quality, validation, documentation, and governance so metrics are trusted and repeatable

Fulltime

Data Product Manager

Spendesk is seeking a Data Product Manager to join our data organization. You wi...

Location

Spain , Barcelona

Salary:

Not provided

Spendesk

Expiration Date

Until further notice

Requirements

4–7 years of experience in product management, data product ownership, analytics product management, ideally from a former full-stack data senior IC role
A track record of owning internal data/analytics products (BI tools, semantic layers, data platforms, internal tools) from discovery through adoption
Experience working closely with Data/Analytics Engineers and business stakeholders (Product, Finance, RevOps)
Experience rolling out or migrating a BI or analytics platform is a strong plus
Solid understanding of modern data platforms and BI: data warehouses (ideally Snowflake), dbt, and self‑service analytics tools
Strong SQL skills for exploration and validation
Good understanding of data modeling concepts (dimensional modeling, semantic layers, shared vs domain models)
Familiarity with data quality, lineage, documentation, and governance
Ability to discuss trade‑offs on performance, complexity, and maintainability with engineers
Strong discovery skills: talking to users, identifying real problems, and defining success metrics

Job Responsibility

Define and drive the strategy for our analytics platform (including the migration from Looker/Metabase to a new, AI-native BI tool) and our core semantic data layer
Work hand‑in‑hand with the Datapoints squad (Data Engineering, Analytics Engineering, Software Engineering, Team Lead/EM) to turn this strategy into well‑scoped initiatives and shipped outcomes
Act as the “coach” for data product practices across Spendesk, helping product squads and business units (FP&A, RevOps, etc.) become autonomous and data‑savvy
Ensure that our data products solve real problems, are discoverable and well‑documented, and are actually used in day‑to‑day decisions
Co‑lead (with the squad’s Team Lead & A Engs) the vision and roadmap for Spendesk’s internal data products: analytics platform, semantic layer, shared business models, and self‑service experience
Align stakeholders (Head of Data, Product, FP&A, RevOps, etc.) on a clear 6–12 month plan
Turn strategic objectives into concrete initiatives with clear problem statements, success metrics, and business impact
Co‑lead (with the EM & AE) the migration from Looker and Metabase to our new BI tool
Own company‑wide adoption of the new BI tool
Help recruit and onboard 2 Analytics Engineers

What we offer

Flexible on-site and remote policy
Alan health insurance (fully covered by Spendesk)
Meal vouchers through Edenred (€6 per working day)
100% reimbursement on public transportation subscription
Access to Moka.care for emotional and mental health wellbeing
28 days of holidays
Latest Apple equipment
Great office snacks to fuel your day

Senior Product Manager - AI

We are seeking an experienced Senior Product Manager to join our Product team in...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in engineering or business management from top universities
6+ years of overall experience in software product management in SaaS or data/platform product companies
At least 4+ years of direct & hands-on PM experience
Experience building enterprise-grade B2B software products, ideally with notable technical data complexity and a focus on AI/ML applications
Proven experience working with AI technologies, including LLMs or ML models, to create products
At least one experience in building out agents or similar agentic / automation pipelines
A natural curiosity to continuously evolve with AI developments within the industry
Experience working with globally distributed teams in multiple timezone environments
Strong expertise with internal tools and systems in a medium to large enterprise and building complex systems around automation
Demonstrated experience aligning and influencing cross-functional teams and diverse stakeholders

Job Responsibility

Create and own the product roadmap for the AI Data Pipeline squad aligning to the overall business and product strategy that helps build and scale Arcadia’s energy data and AI products
Define, prioritize, and build product initiatives and features that improve the scale, quality, and reliability of the data systems, tools, and applications
Lead the AI Data Pipeline product squad to tackle utility data acquisition, extraction and enrichment challenges faced by internal teams
Champion (and model) AI tool usage (e.g., Gemini, Cursor) to drive productivity improvements both in product management and with your engineering team
Work with data science and other AI team members to design agentic features, prompts, and pipelines (e.g., RAG, MCPs)
Drive technical learning and innovation by self-learning new technology stacks (AI, Snowflake, etc.) and working with engineering to rapidly build and prototype solutions
Write clear and detailed product requirements that can be easily understood by technical and non-technical audiences
Collaborate cross-functionally with peers in Engineering, Operations, and Data Science to deliver products on time
Constantly monitor and update on the progress of the initiatives to all the relevant stakeholders and the leadership team
Balance long-term bets with short-term improvements, optimizing for speed of learning and time to impact

What we offer

Competitive compensation based on market standards
Flexible Leave Policy
Office located in the heart of the city in case you need to step in for any purpose
Medical Insurance (1+5 Family Members)
Flexible Benefit Plan
Awards and Bonus
Annual performance cycle
Quarterly engagement activities
A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency

Fulltime

Senior Data Engineer

At Playlist, life's richest moments happen when people step away from screens to...

Location

Brazil

Salary:

Not provided

Mindbody

Expiration Date

Until further notice

Requirements

Strong expertise in data engineering, platform architecture, or modern data warehousing
Deep expertise in Snowflake (Snowpark, Streams, Tasks, Data Sharing) and strong SQL/dbt fluency
Proficient in Python for automation, transformation logic, and data platform development
Experience implementing observability standards, anomaly detection, and data quality validation
Skilled in managing complex, multi-squad initiatives with a clear track record of driving scalable outcomes
Hands-on knowledge of Airflow, Atlan, and infrastructure as code (Pulumi or Terraform)
A strong grasp of data modeling principles and architecture patterns like star schema and bronze/silver/gold layering
Comfortable mentoring engineers, influencing technical roadmaps, and advocating for best practices

Job Responsibility

Architect and optimize cloud-native data warehouse solutions that power real-time decisions and long-term strategy
Design and scale dbt models across bronze/silver layers with a focus on data contracts, observability, and semantic consistency
Build and maintain robust ETL/ELT pipelines using tools like Fivetran, Snowpipe, and CDC to support streaming and batch workloads
Lead the design of infrastructure-as-code deployments with Pulumi or Terraform, driving CI/CD maturity and cost-efficient operations
Elevate data quality with comprehensive monitoring, anomaly detection, and validation frameworks
Collaborate across squads to align data contracts, expand shared data marts, and support machine learning enablement
Champion data governance, ensuring privacy and compliance through PII tagging, lineage, and role-based access controls
Drive continuous platform improvement through systematic tech debt remediation and modernization initiatives

Fulltime

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Senior Squad Lead – Data Engineering

T2M Resourcing

Location:
United Kingdom , Newcastle

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
May 19, 2026

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