5 Online Data jobs in the United Kingdom

This position is posted by Jobgether on behalf of Coverflex. We are currently looking for a Data Engineer in Europe.

As a Data Engineer, you will play a central role in designing, building, and maintaining scalable data systems that power decision-making and innovation. You will collaborate closely with cross-functional teams to transform raw data into clean, reliable, and actionable insights, ensuring data pipelines are robust, efficient, and future-proof. This position offers the opportunity to work with modern tools and cloud environments, driving data architecture and enabling analytics across the business. You’ll join a fast-growing environment where your expertise will directly shape products and empower stakeholders to make smarter, data-driven decisions.

Accountabilities:

• Build, manage, and optimize scalable data systems and pipelines, while contributing to their overall architecture.
• Transform, organize, and evaluate raw data into clean, structured, and reliable datasets.
• Collaborate with engineers, product managers, and analysts to turn business needs into technical solutions.
• Integrate and combine data from multiple sources to support analytics, predictive, and prescriptive modeling.
• Continuously monitor and improve data pipeline performance, quality, and reliability.
• Contribute to the development of a semantic layer and self-service analytics for internal stakeholders.
• Identify opportunities for new data acquisition, enrichment, and automation.

Requirements

• At least 3 years of experience as a Data Engineer or in a similar role.
• Strong expertise in DBT, SQL, Python, and data orchestration frameworks (Prefect or similar).
• Proven experience with ETL/ELT processes, data modeling, data mining, and big data processing.
• Hands-on experience designing and maintaining pipelines in cloud environments, ideally Google Cloud Platform (GCP).
• Proficiency with relational databases and handling semi-structured/tabular data.
• Familiarity with BI and analytics tools such as Lightdash or Hex.
• Strong analytical, numerical, and problem-solving skills.
• Degree in Computer Science, Engineering, IT, or a related field.

Benefits

• Competitive annual gross package between €38,000 – €44,000.
• Additional perks designed to support flexibility, wellbeing, and growth.
• Opportunity to work remotely across Europe.
• Exposure to a modern data stack including BigQuery, DBT, GCP, Terraform, Prefect, and more.
• Collaborative and transparent company culture.
• Equal opportunity employer — applications are welcomed regardless of ethnicity, religion, gender identity, sexual orientation, national origin, age, or disability status.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

This position is posted by Jobgether on behalf of Doctoralia España. We are currently looking for a Finance Data Analyst in Europe.

This role offers the opportunity to transform financial and business data into actionable insights that support strategic decision-making across multiple departments. You will work closely with finance, business intelligence, and cross-functional teams to design reports, analyze performance, and ensure the accuracy and accessibility of financial information. By leveraging SQL, BI tools, and statistical techniques, you will help drive efficiency, optimize processes, and influence long-term strategic planning. The position combines analytical rigor with a business-oriented mindset, making it ideal for professionals who enjoy turning complex data into meaningful recommendations and collaborating with global stakeholders in a fast-paced, dynamic environment.

Accountabilities

• Develop, maintain, and enhance financial dashboards and reports using BI tools to track KPIs and key metrics.
• Collect, integrate, and manage data from multiple systems, including ERP platforms, to provide a consolidated financial view.
• Perform variance analysis, profitability assessments, and trend evaluations to support business decisions.
• Automate repetitive financial tasks and implement process improvements to increase efficiency and reduce errors.
• Support regulatory and compliance reporting, as well as audits, ensuring accurate documentation.
• Collaborate with stakeholders across finance, marketing, sales, and operations to deliver actionable insights.
• Lead end-to-end BI projects, from data extraction and analysis to reporting and presentation of results.

Requirements

• Bachelor’s degree in Economics, Statistics, Econometrics, Finance, or a related field.
• Advanced proficiency in SQL for deriving actionable insights.
• Knowledge of Python or R and eagerness to expand technical skills.
• Experience with statistical modeling, descriptive statistics, and data visualization.
• Strong analytical, problem-solving, and attention-to-detail skills.
• Excellent written and verbal communication skills in English; additional languages such as Spanish, German, or Italian are a plus.
• Ability to work in a dynamic, fast-paced environment, managing multiple priorities.
• Experience collaborating with stakeholders to translate data into business decisions.
• Bonus points: Master’s degree in a relevant field, knowledge of ERP finance applications (Oracle, NetSuite, SAP), or experience in accounting/financial reporting.

Benefits

• Competitive salary and participation in pre-IPO growth opportunities.
• Comprehensive healthcare coverage and wellness programs, including mental health support.
• Flexible remote work options and working hours.
• Paid vacation, personal days, and parental leave.
• Employee Share Ownership Plan (ESOP) after six months.
• Career development opportunities, including cross-functional projects.
• Access to a global, diverse, and inclusive team.
• Local perks depending on location, such as meal vouchers, transport allowances, or extended parental leave.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

This position is posted by Jobgether on behalf of Hugging Face. We are currently looking for a Data Technical Architect, MongoDB Sharding in EMEA.

As a Data Technical Architect, you’ll take on a hands-on leadership role designing and scaling a mission-critical MongoDB infrastructure. You’ll work closely with engineering and product teams to architect solutions that are both performant and reliable, while directly contributing to the application codebase when needed. Your expertise will shape data modeling, query optimization, and best practices that empower teams to build effectively at scale. This role offers the opportunity to work on large-scale, high-impact systems in a collaborative, remote-first environment, while staying deeply involved in both strategic and technical execution.

Accountabilities

• Collaborate with engineering and product teams to design and evolve the end-to-end MongoDB architecture with a focus on scalability and performance.
• Implement and optimize MongoDB sharding in production environments, making informed decisions about shard key strategies.
• Contribute directly to the application codebase to refine the data access layer, queries, and services supporting the architecture.
• Define and promote best practices for schema design, query performance, and data modeling.
• Act as a subject matter expert for diagnosing and resolving complex database performance issues in production.
• Develop automation, scripts, and documentation that improve developer efficiency and safety when working with the database.

Requirements

• At least 4 years of experience in data engineering or architecture with strong expertise in MongoDB.
• Hands-on experience designing and implementing MongoDB sharding in live production environments.
• Strong programming skills in at least one modern language (Typescript/Node.js preferred), with experience working on application codebases.
• In-depth knowledge of MongoDB internals, including aggregation framework, indexing, replication, and storage engines.
• Proven track record of working effectively in cross-functional teams and driving consensus on technical solutions.
• Excellent asynchronous communication skills with the ability to document and lead technical discussions.
• Nice to have: experience with IaC tools (Terraform, Pulumi), MongoDB Atlas, PostgreSQL, Redis, Elasticsearch, or large-scale migration projects.

Benefits

• Remote-first role with flexibility to work from most EMEA locations.
• Competitive salary plus equity options to share in the company’s long-term success.
• Comprehensive health, dental, and vision coverage for you and your dependents.
• Flexible working hours, generous paid time off, and parental leave.
• Professional growth support, including reimbursement for conferences, training, and continuous learning.
• Opportunities to collaborate with leading experts in AI and data engineering.
• Option to visit company hubs in Paris or New York, with workstation support provided for remote employees.
• Inclusive, diverse, and supportive team culture focused on equity and belonging.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our partner companies is currently looking for a Senior Data Scientist - B2B based in Europe or Asia .

As a Senior Data Scientist, you will join a distributed team focused on unlocking insights that power data-driven decisions for B2B initiatives. You’ll work closely with other data scientists and engineers to explore user behavior, design impactful experiments, and develop strategic models that improve customer acquisition, retention, and product development. Your work will directly shape how professionals use digital tools at scale in a rapidly growing market segment. The team values autonomy, documentation, and async-first collaboration, with flexibility for remote work and timezone balance.

Accountabilities:

• Analyze user behavior to uncover drivers of activation, engagement, churn, and upgrades
• Lead experimentation efforts, including A/B test design and impact attribution
• Collaborate with cross-functional teams to surface strategic insights and greenfield opportunities
• Develop self-serve analytics tools, dashboards, and data literacy programs
• Build and maintain predictive models and use case clustering solutions
• Perform ETL tasks and model new data dimensions for strategic decision-making
• Attribute product and marketing impact to core KPIs with statistical rigor

Requirements

• 6+ years of experience in data science, analytics, or a related field
• Strong proficiency in SQL, Python or R, and modern BI/analytics tools (e.g., dbt)
• Expertise in statistical methods, experimentation design, and machine learning techniques
• Proven experience analyzing large datasets to solve business problems
• Excellent communication skills, with the ability to explain insights to non-technical audiences
• Strong stakeholder management and ability to influence cross-functional teams
• Passion for continuous learning, fast iteration, and working in a dynamic, async environment

Benefits

• Meaningful equity in a profitable tech company
• Flexible remote work with sponsored visits to regional offices (Hong Kong or London)
• Annual company offsite (e.g., Portugal 2023, Bali 2024)
• Comprehensive medical insurance for you and your dependents
• Home office and wellness budget (equipment, training, etc.)
• Flexible working hours and an async-first work culture

Jobgether hiring process disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

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