Data Consultant

Apollo Solutions
Bristol
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Consultant

Data Consultant

Trainee Data Consultant

Senior Data Consultant

Principle Data Consultant | Expert Thinking | Azure / AWS | Permanent | Boutique Consultancy | remote-first | strong culture / greenfield Data Projects | Ex-AWS


For Expert Thinking - a thought leader within Cloud and Data and remote-first boutique consultancy - we’re seekingexceptional individualswho embody excellence and demonstrate an unwavering commitment to delivering transformative results. The successful candidate will be avisionary Data Consultantwho thrives in a high-performance environment, possesses an entrepreneurial spirit and has strongcommercial acumento drive pre-sales activities and stakeholder engagement.


The company - Expert Thinking

Expert Thinking is the go-to partner for greenfield Data and Cloud projects in the industry, they help clients to improve cloud & Data maturity, accelerate cloud & Data adoption and drive costs savings. Expert Thinking houses an impressive collective of knowledgeable consultants with backgrounds varying from AWS and UBS to Contino and Pax8.

It's the perfect place to accelerate your growth, enhance your leadership, and sharpen your technical acumen—all while making a meaningful impact on your clients.


Values and Mindset

  • Demonstrates arelentless pursuit of excellenceand continuous improvement
  • Takesfull ownershipof outcomes and consistently exceeds expectations
  • Exhibitsthought leadershipand drives innovation in the data platform space
  • Showsresilience and determinationin overcoming complex challenges


Professional Attributes

  • Possesses agrowth mindsetand actively seeks opportunities to expand capabilities
  • Builds and nurturesstrong relationshipswith clients and team members
  • Approaches problems withcreativity and strategic thinking
  • Maintainscomposure under pressurewhile delivering exceptional results
  • Exceptional communication and stakeholder management skills, able to engage with technical and non-technical audiences


Leadership & Commercial Qualities

  • Acts as amentor and role model, elevating the performance of those around them
  • Drivesstrategic initiativeswith clear vision and purpose
  • Demonstratescommercial acumen, identifying opportunities to deliver business value through data solutions
  • Leadspre-sales engagements, working with customers to define theirdata strategy, architecture, and implementation roadmap
  • Collaborates withsales and business development teamsto create compelling proposals and secure new projects
  • Championsorganizational goalsand inspires others to achieve excellence


Experience & Technical Skills

  • 3+ yearsof experience leadinghigh-performing engineering teamsin a customer-facing and hands-on role
  • Extensive experience buildingperformant, scalable, and secure Azure Data Platformsolutions for enterprise customers
  • Proven experience intechnical pre-sales, guiding customers through defining and implementing solutions that meet their requirements
  • Strongstakeholder engagementexperience, able totranslate complex technical concepts into business value
  • Broad knowledgeof modern data platform solutions acrossmultiple public cloudofferings
  • Expertise in cloud-native engineeringapproaches and methodologies
  • Deep technical expertise withdata models, data mining, and segmentation techniques
  • Proficiency inETL, SQL and e.g.Python, Go or Rfor data manipulation and analysis, with the ability to build, maintain, and deploy sequences of automated processes


Bonus Experience (Nice to Have)

  • Familiarity withdbt, Fivetran, Apache Airflow, Data Mesh, Data Vault 2.0, Fabric, and Apache Spark
  • Experience working withstreaming technologiessuch asApache Kafka, Apache Flink, or Google Cloud Dataflow
  • Hands-on experience withmodern data orchestration toolslikeDagster or Prefect
  • Knowledge ofdata governanceand cataloging tools likeGreat Expectations, Collibra, or Alation
  • Experience inpricing, scoping, and proposal developmentfor data engineering projects


Ready to take your career to the next level, join Expert Thinking!


Apply now!

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.