Senior Analytics Engineer

Avalanche Studios Group

Avalanche Studios Group is looking for a Senior Analytics Engineer to join our Data and Insights team. This role will be responsible for creating, designing and maintaining our data architecture. This role requires a deep understanding of data engineering, data modelling, data visualization, event design and best practices in those areas. This is a key role in developing our data lake by bridging the gap between our data engineer and our data scientists as well as ensuring that our data is timely, easy to work with and trusted across the company.

Capital on Tap

We’re Capital on Tap 👋 💳 Capital on Tap started because small businesses were underserved. Big banks were slow, their products weren't fit for purpose, and small business owners often couldn't access what they needed. We set out to fix that. Today we're a financial platform - not just a credit card company. We offer a best-in-class business credit card, SME-focused spend management platform, a savings product that hit £1 billion in funds within its first year, and a growing suite of tools and financial products that make running a small business easier.  1,000+ employees, £20bn in annual card spend, 200,000+ customers, 17,000+ Trustpilot reviews averaging 4.7 stars, and we're profitable. We’ve done a pretty good job so far, but we’re just getting started!  📍 London | 🏢 Hybrid (1-2 days per week in office) Data Platform Team 🚀 Located in our growing Data Platform team, Senior Analytics Engineers play a leadership role in how data moves around the business. You will be responsible for leading the design, maintenance, and optimisation of our modern data platform, ensuring high-quality, documented data serves as a strategic asset for the entire company. What You’ll Be Doing 🗃️ * Own the global data stack including Fivetran, Snowflake, dbt, and Omni. * Create and maintain well-designed data marts through organised and tested dbt models. * Use frontier AI models (Claude, GPT) in tools like Claude Code and Cursor, plus our internal Snowflake MCP, to accelerate development, and help shape how the business adopts data and AI tooling. * Assemble large, complex data sets that meet specific business requirements. * Implement internal process improvements like Github CI/CD and automation. * Partner with stakeholders across Executive, Risk, Commercial, Finance and Engineering teams. Senior Responsibilities 👑 * Mentor and coach junior and mid-level engineers, fostering a culture of technical excellence and continuous learning. * Take full architectural ownership of the Data Platform, ensuring scalable and robust designs. * Exert strategic influence across the business to align data initiatives with long-term company goals. * Define and implement global data modelling standards and best practices across the organization. * Contribute to the long-term technical roadmap, identifying future technologies and process optimizations. Our Values & Culture 🌞 * Just Pilot: We never settle for “good enough”. We pilot new ideas fast, ask questions to figure it out, and scale quickly. * Why Not Today? Fast is as slow as we go - speed and simplicity gives us a competitive advantage. * Be a Buddy: We tap in from day one to help the team, we do the right thing even if it’s hard. * Owners and Dates: We don’t chase people. If you own a task and agree to a date, the expectation is that it gets done. * Feedback: We want our employees to flourish, so we regularly provide direct and constructive feedback. We’re Looking For 🔎 * Expert SQL skills and knowledge of data modelling (e.g., Kimball). * Hands-on experience with dbt and Git for building SQL-based pipelines. * Experience with ELT tools (Fivetran) and cloud data warehouses (Snowflake). * Familiarity developing within BI tools like Looker, Omni, Tableau, or PowerBI. * Strong analytical skills with a customer-centric approach toward Data Analysts. * Excellent interpersonal skills to translate technical concepts for stakeholders. * Proven track record of mentoring junior engineers and leading cross-functional technical initiatives. * Advanced system design and data warehousing skills, with the ability to architect complex, multi-layered data environments. Interview Process 🤝 1. First stage: 30 minute intro and values call with Talent Partner (Video call). 2. Second stage: 45 minute CV overview with Hiring Manager (Video call). 3. Final stage: Technical assessment with Team Leads and a “Meet the Team” session — 60 minutes each (Video call).   Diversity & Inclusion 🌈 We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work. Great Work Deserves Great Perks We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure.  Check out our benefits: 🏥 Private Healthcare including dental and opticians services through Vitality ✈️ Worldwide travel insurance through Vitality 🎁 Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical) 👛 Salary Sacrifice Pension Scheme up to 7% match 🚘 Octopus EV Salary Sacrifice Scheme 🏖️ 28 days holiday (plus bank holidays) 📖 Annual Learning and Wellbeing Budget 👪 Enhanced Parental Leave 🚲 Cycle to Work Scheme 🚂 Season Ticket Loan 💬 6 free therapy sessions per year 🐶 Dog Friendly Offices 🍫 Free drinks and snacks in our offices       Other Info 👍Check out our ‘Top Tips’ for interviewing. ✔️Keep updated on new job opportunities by following us on Linkedin. 📧Email careers@capitalontap.com if you have any questions. Excited to work here? Apply! If you’d like to progress your career within our fast growing, profitable fintech then click apply and we will aim to get back to you within 3 working days (during busy periods this could take up to 5 working days.)

Cosuno

YOUR MISSION As a member of our Data team, you'll take full ownership of the systems that turn raw data into decisions—for our product, our internal teams, our customers, and our investors. You won't just maintain dashboards; you'll own the pipeline end to end, from ingestion to the numbers people actually act on. In your first few months, you might: * Take ownership of our dbt pipeline, improving our data models so they're reliable, well-tested, and easy to build on. * Maintain and extend our Looker setup, and ship new dashboards and reports that customers and other stakeholders depend on. * Strengthen our data pipeline from Postgres to BigQuery, and build custom Python scripts to automate the flows that keep our warehouse fresh. * Integrate our data warehouse with external tools like Salesforce or ActiveCampaign, so the right data reaches the teams that need it. HOW WE BUILD: OUR ENGINEERING CULTURE We believe in a calm, collaborative, and productive engineering environment. We trust our people and give them the autonomy to do their best work. Our approach includes: * Ownership Over Handoffs: On a small data team, you own your work from ingestion to dashboard. We trust you to make decisions and run with them. * Quality by Default: We treat our data models like production code—tested, version-controlled, and documented—so the numbers we serve are ones we can stand behind. * DevOps Mindset: We automate the boring parts. Pipelines, syncs, and checks are powered by third-party tools or GitHub Actions so the team can focus on the work that needs a human. * Collaboration & Transparency: We value open discussion, constructive reviews, and a culture where the best idea wins, regardless of who it comes from. * AI-Native by Default: We work heavily with Claude Code and other AI tools, and they're a core part of how we build—from writing models and scripts to debugging pipelines and exploring data. We expect everyone on the team to use them fluently and keep getting better at it. YOUR PROFILE We're looking for an experienced data practitioner who likes owning the full stack of an analytics platform. You'll be a great fit if you have: * Significant professional experience building and maintaining data models with dbt and writing advanced SQL. * Solid Python skills for data syncing, automation, and general scripting. * Hands-on experience with a cloud data warehouse such as BigQuery, and comfort working with source databases like Postgres. * Experience building dashboards and serving data to non-technical stakeholders (a strong command of Looker is a big plus). * Strong, hands-on familiarity with AI coding tools—especially Claude Code—and a habit of using them as part of your daily workflow. * A pragmatic approach to problem-solving and a high sense of ownership, feeling comfortable driving projects independently. * Excellent communication skills in English. BONUS POINTS FOR (NICE-TO-HAVES): * Experience with reverse ETL or integrating a data warehouse with tools like ActiveCampaign or Salesforce. * Experience building and maintaining CI/CD or automation pipelines (e.g. GitHub Actions). * Experience preparing data and reporting for external audiences such as customers or investors. * An interest in data engineering best practices, pipeline reliability, and infrastructure-as-code. WHY US? * Competitive Compensation: A competitive salary above the market average. * Work-Life Balance: Choose to work 100% remotely or from our modern office in Berlin. We offer flexible working hours to fit your life. * Top-Notch Equipment: A new MacBook Pro to ensure you have the best tools for the job. * A Great Team: Regular company off-sites and team events that connect us as people, not just colleagues. * Job Security: A permanent contract in a stable, well-funded company. ABOUT US Cosuno – Revolutionizing construction through technology. We are Cosuno – a fast-growing tech startup that is making the construction industry more efficient and transparent with our digital platform for tenders and procurement processes. Our goal: to solve the most complex challenges in the industry with innovation and simplicity. Why Cosuno? Artificial intelligence is the key to our solution: it analyzes millions of price data points and helps construction companies create precise and efficient bids. This not only saves our customers time but also helps them avoid unnecessary costs. But for us, it's not just about technology – it's about the people who drive it. At Cosuno, you will work with creative minds who are reshaping the construction industry. We believe in diversity because we know that the best ideas come from different perspectives. An integrative and inclusive work environment is a matter of course for us. Join us – Build the future of construction.