analytics engineer

Enza Zaden

<div><p>As a Senior Analytics Engineer, you make an impact by strengthening data-driven decision-making across Enza Zaden worldwide. You develop scalable data solutions and translate complex challenges into valuable insights that help teams perform better.</p><p></p><p><b>
Make a </b><b>difference </b><b>as Senior Analytics Engineer</b></p><p>
As Senior Analytics Engineer, you play a key role in enabling data-driven decision-making across Enza Zaden worldwide. You design, build and maintain scalable data models and analytics products that empower self-service BI for teams across the organization. Working closely with product owners, analytics engineers, IT specialists and business stakeholders, you translate complex requirements into reliable solutions on the global data platform. Your impact is visible in better insights, improved processes and stronger data maturity across departments.</p><p>
In this role, your work will include:</p><p></p><ul><li><p>
Designing, developing and maintaining advanced data models and analytics products using tools like Databricks, dbt and Power BI;</p></li><li><p>
Leading complex analytics and reporting initiatives with a mid- to long-term horizon;</p></li><li><p>
Translating business needs into scalable, well-governed data solutions in collaboration with stakeholders and product owners;</p></li><li><p>
Improving data quality, reliability, performance and cost efficiency through lifecycle management;</p></li><li><p>
Ensuring compliance with architecture, security and access standards together with IT, Architecture and Security teams;</p></li><li><p>
Coaching colleagues and contributing to knowledge sharing, user enablement and adoption of data solutions.</p></li></ul><p></p><p><b>
What you </b><b>bring </b><b>as our future colleague</b></p><p>
As Senior Analytics Engineer, you bring strong ownership and a strategic yet pragmatic mindset. You know how to translate complex business questions into actionable data solutions and use your technical expertise to deliver scalable, high-quality results. You communicate effectively with stakeholders across different levels and guide teams in using data more effectively. You are comfortable working independently while also fostering collaboration and growth within the team. In addition, you have:</p><p></p><ul><li><p>
A Master's degree (WO) with 6&ndash;8 years of relevant experience in analytics, reporting or data engineering;</p></li><li><p>
Strong knowledge of data modelling, analytics and data transformation techniques;</p></li><li><p>
Hands-on experience with Azure (DP203), Databricks, SQL, dbt, Power BI, DAX and Git;</p></li><li><p>
Experience with DevOps practices such as version control, testing and CI/CD for data products;</p></li><li><p>
Understanding of scalability, architecture principles and data platform lifecycle management;</p></li><li><p>
Strong communication, stakeholder management and coaching skills.</p></li></ul><p></p><p><b>
Enza Zaden</b><b> as your employer</b></p><p>
Enza Zaden is an international family-owned company that has been developing innovative vegetable varieties since 1938. Together with more than 3,300 colleagues worldwide, we work on vegetable seeds with better flavor, higher yields and strong resistances. We do this from our mission: &ldquo;Breeding to feed the world.&rdquo; Every day, more than 480 million people eat vegetables grown from our seeds, and that is something we are very proud of.</p><p></p><p>
We are passionate about our work and care about one another. Good ideas are given room to grow and together we keep moving forward. This is how we continue to grow and innovate, both as a company and as colleagues.</p><p></p><p><b>
What you can </b><b>expect </b><b>from us</b></p><p>
We believe it is important that you can grow in your work and feel good about what you do. That is why we invest in your development, well-being, and job satisfaction. Through our Great to Grow development program, our focus on vitality, and activities that bring colleagues together, we create a work environment where you can keep learning and contribute with energy and enjoyment.</p><p></p><p>
You can also count on:</p><p></p><ul><li><p>
A position for 32-38 hours per week;</p></li><li><p>
A gross monthly salary between &euro; 5.103,90 and &euro; 7.291,28, based on a full-time workweek of 38 hours and aligned with your knowledge and experience;</p></li><li><p>
8.33% vacation allowance and an attractive annual bonus program of 10% of your annual salary, depending on your job level and company performance;</p></li><li><p>
25 vacation days, the option to purchase additional vacation days, and one paid vitality day per year, with extra vacation days granted as you get older;</p></li><li><p>
A laptop and mobile phone provided by Enza Zaden;</p></li><li><p>
A contribution toward overnight accommodation costs if you live farther away from Enza Zaden. This program applies to employees working for Enza Zaden in the Netherlands whose one-way commute exceeds 100 kilometers and 75 minutes;</p></li><li><p>
An attractive retirement plan, commuting reimbursement if you live more than 10 kilometers from your workplace and a remote work allowance when working partly from home in consultation with your manager;</p></li><li><p>
Opportunities for personal and professional growth through our Great to Grow development program, training courses, workshops, and e-learning platform;</p></li><li><p>
Plenty of opportunities to connect with colleagues outside of your daily work through social events organized by the Staff Association, as well as Young Enza networking events, inspiration sessions, and social gatherings. We also host an annual summer barbecue, Christmas market and New Year&rsquo;s reception;</p></li><li><p>
A strong focus on your health and well-being, including free fresh fruit, healthy lunch options at the office, a bike-to-work program, sports activities through enzActive, and mental well-being support through OpenUp.</p></li></ul><p></p><p><b>
Let&rsquo;s </b><b>connect</b></p><p>
Looking for a career that grows with you? Apply using the application button. You will receive an automatic confirmation within a few minutes. We will let you know the next step within 10 business days.</p><p></p><p>
This role cannot be filled on an interim basis.</p><p></p><p>
Do you have questions about the role or the application process? Please feel free to contact Sandra Hoeneveld, Corporate Recruiter, s.hoeneveld-blekkink@enzazaden.nl.</p><p></p><p>
Enza Zaden is an equal opportunity employer and does not discriminate based on background, identity, or personal characteristics.</p><p></p><p>
Want to learn more about Enza Zaden? Visit our website.</p></div>

Analytics Engineer

Snowflake

<div><div><p>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.</p><p><b>
This role requires in-person attendance in our Menlo Park, CA office at least 3 days per week.</b></p><p>
We are looking for an Analytics Engineer to join our growing Finance Analytics Engineering team. In this role, you will drive value and empower decision-making by developing and maintaining the data infrastructure which fuels reporting and analysis for the Finance organization and has a direct impact on Snowflake&rsquo;s success as a company. As an Analytics Engineer, you will be responsible for the following:</p><ul><li><p>
Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation</p></li><li><p>
Perform data QA and develop automated testing procedures for use with Snowflake data models</p></li><li><p>
Translate reporting, analysis, and automation requirements into data model requirements and specifications</p></li><li><p>
Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases</p></li><li><p>
Architect flexible, performant data models that will support a wide range of use cases while driving the organization towards single sources of truth</p></li><li><p>
Provide input into data governance strategies and frameworks including permissions and security models, data lineage systems, and data definitions</p></li><li><p>
Meet regularly with Finance BI and technical leads to define requirements, formulate project plans, provide status updates, and perform user testing and QA</p></li><li><p>
Build and maintain user friendly documentation for data models and key metrics</p></li><li><p>
Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team</p></li></ul><p><b>
What You Will Need</b></p><p><b>
Required skills:</b></p><ul><li><p>
3+ years of experience working as an analytics, data, or BI engineer</p></li><li><p>
Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets</p></li><li><p>
Experience using Python to parse, structure, and transform data</p></li><li><p>
Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies</p></li><li><p>
Ability to communicate in an effective and efficient manner while working with a wide range of stakeholders</p></li><li><p>
Ability to prioritize and execute tasks in a high-pressure, constantly changing environment</p></li><li><p>
Ability to think creatively to solve problems</p></li><li><p>
An impulse for introducing structure and simplicity into vague, complex problems</p></li><li><p>
An obsession for detail and quality</p></li><li><p>
An ability to identify weaknesses in data and process, and a willingness to drive improvement</p></li><li><p>
A bias for action</p></li></ul><p><b>
Preferred skills:</b></p><ul><li><p>
Experience with ERP and Financial Planning tools</p></li><li><p>
Experience using Python to parse, structure, and transform data</p></li><li><p>
Experience working with CI/CD pipelines</p></li><li><p>
Experience leading or working within a scrum, sprint, or other agile framework</p></li><li><p>
Past experience supporting product or product finance stakeholders</p></li><li><p>
Experience working with cost attribution models for SaaS products and tying products out to CSP cost reports</p></li><li><p>
Familiarity with cloud cost management and understanding of cost structures in cloud environments (e.g. FOCUS Framework)</p></li><li><p>
Demonstrated experience in cloud computing platforms (e.g., AWS, Azure, Google Cloud)</p></li></ul><p>
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.</p><p>
How do you want to make your impact?</p><p>
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.</p><p>
How do you want to make your impact?</p><p>
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com</p><p>
The following represents the expected range of compensation for this role:</p><ul><li>
The estimated base salary range for this role is $132,000 - $173,000.</li><li>
Additionally, this role is eligible to participate in Snowflake&rsquo;s bonus and equity plan.</li></ul><p></p><p>
The successful candidate&rsquo;s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending &amp; health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.</p><p>
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.</p></div></div>

Royal Botanic Gardens Kew

<div><h1 class="jobSectionHeader"><b>Analytics Engineer</b></h1>
<div><p>
We are looking for a proactive and highly capable hands-on Analytics Engineer with strong Microsoft Azure Synapse and Python engineering experience to develop, manage and optimise Kew&rsquo;s commercial data platform, pipelines and analytical data assets.</p>
<p>
This role is critical to delivering Kew&rsquo;s Customer and Supporter Data Strategy. You will build and maintain scalable, high quality data assets that enable better understanding of our audiences, support personalised engagement, enable insight and AI use cases and drive commercial income growth. You will operate within Kew&rsquo;s wider data platform strategy to deliver robust data solutions ensuring that the data is trusted, well-governed and fit-for-purpose for decision making.</p></div>
<div>
<div><div>Hours of work</div>
<div>Full time</div>
</div><div><div>Contract Type</div>
<div>Permanent</div>
</div><div><div>Salary</div>
<div>&pound;61,337 per year [Band F7]</div>
</div><div><div>Directorate</div>
<div>Marketing &amp; Commercial Enterprise</div>
</div><div><div>Location</div>
<div>Kew Gardens, Richmond, Hybrid</div>
</div><div><div>Closing Date
</div><div>15/07/2026
</div></div><div><div>Documents</div>
<div><ul><li>Employee Benefits - RBG Kew 2024.pdf<br>
(PDF, 279.26kb)</li>
<li>Job Profile.pdf<br>
(PDF, 217.55kb)</li>
</ul></div></div></div><div><div>print this job
</div><div></div><div>Apply for this role
</div><div>Send to a Friend</div>
</div><h2 class="jobSectionHeader"><b>More details</b></h2>
<p>
We are looking for a proactive and highly capable hands-on Analytics Engineer with strong Microsoft Azure Synapse and Python engineering experience to develop, manage and optimise Kew&rsquo;s commercial data platform, pipelines and analytical data assets.</p>
<p>
This role is critical to delivering Kew&rsquo;s Customer and Supporter Data Strategy. You will build and maintain scalable, high quality data assets that enable better understanding of our audiences, support personalised engagement, enable insight and AI use cases and drive commercial income growth.</p>
<p>
You will operate within Kew&rsquo;s wider data platform strategy to deliver robust data solutions ensuring that the data is trusted, well-governed and fit-for-purpose for decision making. You have a curious mindset and are passionate about exploring data, transforming and integrating data from different sources. You enjoy trouble shooting and optimising data processes to improve data quality and reliability. You like working as part of a team and collaborating with stakeholders.</p>
<p>
If you enjoy problem solving, automation, efficiency improvements and working in an environment where not everything is established, this role is for you.</p>
<p>
This role has a dotted line to the Lead Data Platform Engineer in the IT directorate.</p><br>
<p></p>
<p>
The Royal Botanic Gardens, Kew (RBG Kew) is a leading plant science institute, UNESCO World Heritage Site, and major visitor attraction. Our mission is to understand and protect plants and fungi for the well-being of people and the future of all life on Earth.</p>
<div>
<p>We are working to end the unprecedented extinction crisis and to help create a world where nature is protected, valued by all and managed sustainably. We will achieve these goals by drawing on our leading scientific research, unrivalled collections of plants and fungi, global network of partners, inspirational gardens at Kew and Wakehurst, and our 260 years of history.</p>
<p>
Join us on our journey as protectors of the world&rsquo;s plants and fungi.</p>
<p>
The salary for this position is &pound;61,337 per year [Band F7]</p>
<p>
Our fantastic benefits package includes opportunities for continuous learning, a generous annual leave entitlement, flexible working to help you maintain a healthy work-life balance, an Employee Assistance Programme and other wellbeing support such as cycle to work scheme and discounted gym membership. We also offer a competitive pension, an employee discount scheme and free entry into a wide range of national museums and galleries, as well as access to our own beautiful gardens at Kew and Wakehurst.</p>
<p>
If you are interested in this position, please submit your application through the online portal, by clicking &ldquo;Apply for this job&rdquo;.</p>
<p>
Please note that the interviews will be provisionally held on 29th July 2026.</p>
<div>
<p>At Kew, our strength lies in the diversity of our people and the insights they bring. When you join us, you will find an organisation that values your perspective and lived experience. You will receive support to achieve your full potential and access opportunities to develop and progress. Our commitment to equity, diversity, and inclusion is ongoing, shaped by the people who work here and the communities we serve. As a disability confident employer, we are breaking down barriers to be an inclusive workplace for everyone.</p>
<p>
Whoever you are, and however you experience the world, there is a place for you to grow and belong at Kew.</p>
</div>
<p>No agencies please.</p></div></div>

The Law Society

<div></div><div><div><div><div><div><p>Join the Law Society's Data and AI team at an exciting stage of our data transformation journey. Having recently implemented our first enterprise Data Platform, we're looking for an Analytics Engineer to help shape the next phase of our data and analytics capability.</p>
<p>
In this role, you will design, build and maintain trusted data models and analytics products that enable reporting, generate valuable insights and support informed decision-making across the organisation.</p>
<p>
Working closely with data engineers, analysts and business stakeholders, you'll transform complex data into well-governed, reusable analytical models that power reporting tools such as Power BI. You'll also play a key role in improving data quality, enhancing data accessibility and ensuring colleagues can confidently find, trust and use data to drive business outcomes.</p>
<p>
This is an excellent opportunity to join a knowledgeable and growing Data and AI team where you'll have the chance to influence best practice, work with modern technologies and contribute to the continued evolution of our data platform.</p>
</div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>What we're looking for</b></h2></div>
</div></div><div><div><div><div><p>We're looking for someone with a passion for data and analytics who can bridge technical expertise with business needs. You will have:</p>
<ul>
<li>Strong SQL skills and experience designing reliable, scalable and maintainable data models, optimised for BI tools such as Power BI.</li>
<li>Experience developing reports, dashboards and semantic models using Power BI or similar analytics platforms.</li>
<li>Knowledge of modern cloud data technologies such as Databricks, Snowflake or Azure Data Factory.</li>
<li>An understanding of data governance, data lineage and data quality principles.</li>
<li>The ability to work collaboratively with stakeholders to translate business requirements into practical data solutions.</li>
<li>A proactive, collaborative approach with a commitment to continuous improvement.</li>
</ul>
<p><b>Desirable skills include:</b></p>
<ul>
<li>Experience using Git and Python.</li>
<li>Experience working within Agile delivery environments.</li>
<li>Relevant cloud or data certifications.</li>
</ul></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>What's in it for you</b></h2></div>
</div></div><div><div><div><div><p>This is an exciting opportunity to join a respected membership organisation with a strong reputation for excellence and legal expertise. You'll work alongside talented colleagues who are passionate about using data to deliver meaningful impact across the organisation.</p>
<p>
At the Law Society, we're committed to fostering an inclusive workplace where equality, diversity and inclusion are valued, and where our culture is built on trust, clarity, excellence and respect.</p>
<p>
We offer:</p>
<ul>
<li>Hybrid working.</li>
<li>A generous and flexible benefits package.</li>
<li>A supportive and collaborative working environment.</li>
<li>Excellent opportunities for learning, development and career progression.</li></ul><br>
<p>
<br>
<i>Please note: i</i><i>f you are an internal applicant, Pay Policy will apply.</i><br>
</p><p><b>The Law Society represents solicitors in England and Wales. From negotiating with and lobbying the profession's regulators, government and other decision makers, to offering training and advice, we're here to help, protect and promote solicitors.</b></p></div></div></div></div></div>

Lendable

<div><h2 class="jobSectionHeader"><b>About Lendable</b></h2><p>
Lendable is on a mission to build the world's best technology to help people get credit and save money.<b> </b>We're building one of the world&rsquo;s leading fintech companies and are off to a strong start:</p><p></p><ul><li><p>
One of the UK&rsquo;s newest unicorns with a team of just over 700 people</p></li><li><p>
Among the<b> fastest-growing tech</b> companies in the UK</p></li><li><p>
Profitable since <b>2017</b></p></li><li><p>
Backed by top investors including <b>Balderton Capital </b>and<b> Goldman Sachs</b></p></li><li><p><b>
Loved by customers</b> with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)</p></li></ul><p></p><p>
So far, we&rsquo;ve rebuilt the Big Three consumer finance products from scratch:<b> loans, credit cards and car finance</b>. We get money into our customers&rsquo; hands in minutes instead of days.</p><p></p><p>
We&rsquo;re growing fast, and there&rsquo;s a lot more to do: we&rsquo;re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks <b>with dated systems and painful processes.</b></p><p></p><h2 class="jobSectionHeader"><b>
Join us if you want to</b></h2><ul><li><p><b>
Take ownership </b>across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1</p></li><li><p><b>
Work in small teams of exceptional people,</b> who are relentlessly resourceful to solve problems and find smarter solutions than the status quo</p></li><li><p><b>
Build the best technology in-house</b>, using new data sources, machine learning and AI to make machines do the heavy lifting</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
About the role</b></h2><p>
We're looking for an analytics engineer to contribute to the analytical foundation of the UK Motor team, a rapidly-growing area of the business.</p><p>
You&rsquo;ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company.</p><p>
The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability.</p><p>
You'll contribute to the modelling layer, help improve how the business work with data, and support the team in keeping our warehouse a reliable, strategic asset for the business.</p><p></p><h2 class="jobSectionHeader"><b>
What you'll be doing</b></h2><ul><li><p>
Building and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.</p></li><li><p>
Championing standards and contributing to the improvement of our analytics engineering culture.</p></li><li><p>
Supporting and collaborating with analysts at different technical levels,helping translate requirements into robust pipelines</p></li><li><p>
Helping triage and resolve issues that affect the analytics pipeline or reduce trust in downstream datasets, and contributing ideas to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Our modern data stack</b></h2><p>
You&rsquo;ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.</p><p></p><h2 class="jobSectionHeader"><b>
What we're looking for</b></h2><p>
We&rsquo;re looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment and explain tradeoffs to stakeholders with varying technical depth.</p><p>
More specifically, we&rsquo;re looking for:</p><ul><li><p>
Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability.</p></li><li><p>
Strong experience with ELT pipelines and transformation at scale, ideally using dbt.</p></li><li><p>
Experience with Snowflake or another modern cloud data warehouse.</p></li><li><p>
Proactiveness in raising areas of data workflows that could be improved and suggesting solutions.</p></li><li><p>
A collaborative working style and clear communication across technical and non-technical stakeholders.</p></li><li><p>
Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Interview process</b></h2><ul><li><p>
Initial call with an engineer</p></li><li><p>
15 minute Cognitive Assessment</p></li><li><p>
Onsite or Video Interview lasting 90 minutes, comprising of:</p><ul><li><p>
Introduction of the team and kind of work you could be doing daily</p></li><li><p>
Interactive architecture/design exercise</p></li><li><p>
Questions you may have about the company, role, etc.</p></li></ul></li><li><p>
A 60 minute chat with this role's primary stakeholders</p><ul><li><p>
Cultural/behavioural questions</p></li><li><p>
Product mindset and ability to collaborate and communicate</p></li></ul></li></ul><p></p><h2 class="jobSectionHeader"><b>
Life at Lendable</b></h2><ul><li><p><b>
Winning team: </b>the opportunity to scale up one of the world&rsquo;s most successful fintech companies</p></li><li><p><b>
Flexible working: </b>flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites</p></li><li><p><b>
Socials &amp; connection: </b>opportunities and events to come together, socialise, and get to know each other beyond the office walls</p></li><li><p><b>
Health coverage:</b> support for your physical and mental wellbeing, including private health cover</p></li><li><p><b>
Retirement &amp; savings:</b> long-term financial wellbeing through retirement savings plans</p></li><li><p><b>
Employee referral programme:</b> earn a competitive bonus when you refer successful new team members</p></li><li><p><b>
Office meals &amp; snacks:</b> enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations</p></li><li><p><b>
Sustainable commuting:</b> cycle-to-work and electric vehicle salary sacrifice schemes available in select locations</p></li></ul><p><b><i>
Please note:</i></b><i> The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.</i></p><p>
Check out our blog!</p></div>

Rotate

<div><p><b>As an Analytics Engineer, you'll help build market data products for the cargo industry. You'll work with live airline capacity and trade flow data, developing forecasts and enriching existing datasets, in close collaboration with industry experts, engineers, and fellow analysts.</b></p><p></p><p><b>
Who we are</b></p><p>
We are Rotate. We help key players across the global air cargo and logistics industry make better commercial and strategic decisions. We provide cloud-based software and analytics, world-leading market data, and data-driven strategy consulting. Our clients include top-tier airlines, airports, freight forwarders, governments, shippers, investors, and other industry stakeholders.</p><p><br>
Founded in 2022 by a core team of former aviation strategy consultants, Rotate has grown rapidly. We now have offices in the Netherlands and Malaysia and a diverse team of around 50 professionals, including strategy consultants, data scientists, software developers, and data engineers. Demand for our work continues to grow strongly, and we are therefore looking for talented analytic engineers to strengthen our team.</p><p></p><p><b>
What you&rsquo;ll do</b></p><p>
When joining Rotate as an Analytics Engineer, you will:</p><ul><li>
Sit at the heart of our market data product team, developing and pressure-testing the business logic that turns raw market data into reliable, actionable products.</li><li>
With guidance, take ownership of the development of new features, logic, and PoCs that help our customers take better sales, pricing, and strategic planning decisions.</li><li>
Work alongside our engineering team to make sure new features are fully integrated into existing products and pipelines.</li><li>
Get the opportunity to shape the product team, contribute to internal data standards, documentation, and best practices for analytics and engineering.</li><li>
Occasionally join white-boarding sessions with customers or partners to solve analytical challenges together.</li><li>
Become an expert in key industry data sets and products and build deep expertise in a globally connected market.</li></ul><p></p><p><b>
Why work at Rotate?</b></p><p>
At Rotate, you&rsquo;ll join a fast-moving team that&rsquo;s tackling an endless stream of fascinating problems in an industry that&rsquo;s essential to the global economy. We build high-impact products and strategies using modern technologies, and we&rsquo;re committed to tailoring your personal and professional growth as we scale. Our performance management and learning programs are all about helping you grow, with coaching and mentorship on a daily basis.</p><p></p><p>
In addition to excellent compensation, you&rsquo;ll get to:</p><p></p><ul><li><b>
Build things that matter.</b> Solve complex problems in a critical industry. Advise clients on their most fundamental strategic questions, or partner with airlines to co-develop data-driven SaaS products with the latest technology stack. Drive efficiency and sustainability in global supply chains.</li><li><b>
Write your own story.</b> Feel like an entrepreneur within a well-funded company and established team. Help us build Rotate and share in our joint success. Partner with us to tailor your development and career ambition.</li><li><b>
Live unforgettable experiences.</b> Get exposed to different cultures, go on unforgettable offsites, experience the highs and lows of scale-up life&hellip;and if you&rsquo;re keen, travel the world and eat sushi in Tokyo!</li></ul><p><b><br>
Your qualifications</b></p><p></p><ul><li>
A university degree in a quantitative or analytical field such as Econometrics, Data Science, Mathematics, Engineering, Statistics, or similar.</li><li>
Strong analytical and structured thinking, you enjoy breaking down complex problems and deriving clear conclusions from messy data.</li><li>
Some practical experience with Python, whether through internships, personal projects, coursework, or just tinkering.</li><li>
An interest in logistics, aviation, or supply chain, you&rsquo;re excited to become a domain expert and want to understand what the numbers represent for our airline and logistics customers.</li><li>
Strong communication skills (in English), you can explain your reasoning clearly to both technical and non-technical colleagues and feel as comfortable discussing product strategy as you are writing code.</li><li>
0&ndash;3 years of experience. This role is open to recent graduates and early-career candidates.</li></ul><p></p><p><b>
Nice to have:</b></p><ul><li>
Familiarity with SQL, PySpark, dbt, or data modelling concepts</li><li>
Any prior experience in logistics, aviation, or a B2B data environmen</li></ul><p></p><p><b>
Where is Rotate located?</b></p><p>
We find real value in being together, it's how knowledge travels fast, how you pick up industry expertise from the rest of the team, and frankly, we find it more fun to work together in the same place</p><p></p><p><b><br>
Contact us!</b></p><p>
If you&rsquo;re still reading and are excited about this role, we welcome your application even if you think you don&rsquo;t meet all the requirements. We understand that no candidate is perfect, and would love to hear your story. We are looking forward to hearing from you via careers@letsrotate.com.</p></div>

IJsvogel Retail

<p></p><div><div><div><div><div><div><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Analytics Engineer
</b></h1></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>Wij zoeken
</b></h3></div></div></div></div></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div><div><div><div><div><p>Pets Place is marktleider in huisdierbenodigdheden en ziet innovatie en digitalisering als een belangrijke prioriteit voor de komende jaren. Data vormt een belangrijke basis voor strategische en operationele keuzes binnen de organisatie. Als Analytics Engineer zet jij ruwe data om naar overzichtelijke datasets en dashboards. Mede dankzij jou worden onze teams en organisatie in staat gesteld om data-gedreven beslissingen te maken.
</p><h3 class="jobSectionHeader"><b>Dit ga je doen
</b></h3><p>Pets Place Boerenbond zet sterk in op datagedreven werken. Als Analytics Engineer speel jij een cruciale rol in het modelleren en activeren van data binnen de organisatie. Waar de Data Engineer de basis legt door data beschikbaar te maken, vertaal jij deze data naar betrouwbare datasets, data-activaties en inzichtelijke dashboards binnen Google Cloud (BigQuery/Looker). Daarbij werk je nauw samen met gebruikers om hun informatiebehoeften te begrijpen en ondersteun je hen bij het effectief inzetten van data.
</p><p>Meer weten over werken bij IJsvogel Retail? Laat je inspireren door de verhalen van onze collega&rsquo;s .
</p></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>Je verantwoordelijkheden omvatten onder meer
</b></h3><ul><li>Vertalen van business vraagstukken naar impactvolle dashboards, rapportages en data-activatie oplossingen die bijdragen aan de organisatiedoelstellingen.
</li><li>Ontwerpen, ontwikkelen en optimaliseren van datamodellen, datasets en datastructuren in dbt en BigQuery, waarmee je zorgt voor &eacute;&eacute;n eenduidige waarheid in onze cijfers en bouwt aan betrouwbare en schaalbare data-oplossingen.
</li><li>Samenwerken met stakeholders om informatiebehoeften scherp te krijgen, gebruikers te begeleiden tijdens ontwikkeling en acceptatietesten, en oplossingen succesvol in gebruik te nemen.
</li><li>Bewaken en verbeteren van datakwaliteit, data governance, documentatie en compliance (AVG/GDPR) binnen het dataplatform.
</li><li>Signaleren en oplossen van knelpunten in datapipelines, rapportages en platform prestaties, en bijdragen aan structurele verbeteringen.
</li><li>Stimuleren van datagedreven werken binnen de organisatie door gebruikers te ondersteunen, adviseren en enthousiasmeren over de mogelijkheden van data.
</li></ul><h3 class="jobSectionHeader"><b>Ons aanbod voor jou
</b></h3><ul><li>Een salaris tussen de &euro; 3800,- en &euro; 6200,- per maand op fulltime basis, afhankelijk van je kennis en ervaring;
</li><li>25 vakantiedagen o.b.v. een fulltime dienstverband (mogelijkheid om tot 5 dagen bij te kopen);
</li><li>Mogelijkheid tot thuiswerken (minimaal 3 dagen op kantoor) en flexibele starttijden;
</li><li>Is je enkele reisafstand meer dan 10 km dan kom je in aanmerking voor een reiskostenvergoeding;
</li><li>Uiteraard gaan wij ervan uit dat jij als collega enthousiast wordt van onze producten en daarom krijg je 15% personeelskorting;
</li><li>Verse lunch in ons mooie bedrijfsrestaurant tegen een kleine vergoeding;
</li><li>Heb je een hond? Dan is deze uiteraard welkom op ons hoofdkantoor;
</li>Toegang tot de Alleo-app, waarmee je korting krijgt bij meer dan 100 partners.<br>
<li>
</li></ul></div></div></div></div></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>Dit ben jij
</b></h3><ul><li>Je hebt aantoonbaar HBO+ werk- en denkniveau.
</li><li>Minimaal 3-5 jaar ervaring in een soortgelijke rol.
</li><li>Ervaring met cloudplatforms, waarbij ervaring met Google Cloud Platform (BiqQuery) een pr&eacute; is.
</li><li>Kennis van programmeren in SQL en Python (pr&eacute;).
</li><li>Ervaring met datatransformatie zoals dbt.
</li><li>Ervaring met BI-tools (bij voorkeur Looker).
</li><li>Kennis van data-architecturen, data governance en data management, inclusief privacy- en GDPR-richtlijnen.
</li><li>In staat om data te vertalen naar inzichten voor de business, met begrip van omni-channel retail processen en sterke adviesvaardigheden.
</li><li>Interesse in advanced analytics, AI en data science en het toepassen van data in een commerci&euml;le context.
</li></ul><h3 class="jobSectionHeader"><b>Pets Place Boerenbond: de nummer &eacute;&eacute;n voor alle dieren- en tuinliefhebbers
</b></h3><p>Alles voor je dier en tuin vind je bij Pets Place Boerenbond. Dankzij onze deskundigheid en service op het gebied van dier en tuin helpen we onze klanten zelf expert te worden op deze gebieden. Zo maken zij de juiste keuzes en kunnen ze zorgeloos genieten van het buitenleven en hun huisdieren. Dit alles start met de kennis, het enthousiasme en de betrokkenheid van de collega&rsquo;s in onze winkels door het hele land &eacute;n in ons distributiecentrum en servicekantoor in Ede.
</p><p>Pets Place Boerenbond is onderdeel van IJsvogel Retail . Met onze 180 winkels, webshops, 1.600 medewerkers, 37.000 m2 magazijn en ruim 18.000 artikelen zetten we ons elke dag in voor onze klanten. En we groeien nog steeds! Dit cre&euml;ert veel kansen en mogelijkheden voor jou, bijvoorbeeld als het gaat om doorgroei en professionele ontwikkeling.
</p><p>We vinden het belangrijk dat jij je welkom voelt bij ons. Het maakt ons niet uit waar je geboren bent, wat jouw achtergrond is, waar je in gelooft en van wie je houdt. Verschil brengt juist nieuwe perspectieven met zich mee. Wij zijn nieuwsgierig naar jouw talent en hoe jij het verschil maakt voor onze collega's en klanten.
</p></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>Solliciteer nu!
</b></h3><p>Zie jij jezelf al werken als <b>Analytics Engineer </b>bij IJsvogel Retail? Heb je nog vragen over deze functie? Neem dan contact op met <b>Stef van Hoek, Lead Data, via 06-42997509 </b>.
</p><p><i>Acquisitie naar aanleiding van deze vacature wordt dan ook niet op prijs gesteld</i></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

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