At a Glance
- Tasks: Design and optimise data pipelines and architectures for diverse clients.
- Company: Optima Partners is a leading data consultancy based in Edinburgh, transforming customer engagement for top brands.
- Benefits: Enjoy a collaborative work environment with opportunities for remote work and continuous learning.
- Why this job: Join a fast-growing team and gain exposure to various business challenges while advancing your career.
- Qualifications: 2+ years in data engineering; proficiency in Python, Java, or Scala; experience with big data tools.
- Other info: Work alongside seasoned professionals and contribute to impactful data solutions.
The predicted salary is between 28800 - 42000 £ per year.
As a Core Data Engineer, you will play a pivotal role in designing, building, and optimising data pipelines, architectures, and workflows for our diverse client base. You’ll work within dynamic, multi-disciplinary project teams to implement scalable data solutions while adhering to best practices and emerging trends in data engineering.
This is an exciting and valuable opportunity for an enthusiastic, earlier-stage data engineer to advance their career across a variety of commercial sectors. At Optima, you’ll work within cross-functional teams, collaborating with experts in different fields and gaining exposure to varied business challenges.
Optima provides an inclusive space for professional development, with a focus on continuous learning and knowledge sharing. Engineering at Optima is a fast-growing team with strong partnerships in the wider data science community. With the chance to work alongside seasoned engineers, scientists, data architects, and product specialists, you’ll be contributing to our collective effort to stay at the forefront of a fast-paced, data-driven world. Moreover, there are chances to learn and grow as an engineer in different disciplines, as well as a clear path to career development and promotion within the role.
Key Responsibilities- Data Pipeline Development: Design and implement robust, scalable, and efficient data pipelines to collect, transform, and integrate data from various sources.
- Data Architecture: Develop and optimise data architectures, including data warehouses, data lakes, and other storage solutions.
- ETL/ELT Processes: Create and maintain reliable ETL/ELT workflows that ensure data quality and accessibility.
- Collaboration: Work closely with data scientists, analysts, and client stakeholders to understand requirements and deliver impactful solutions.
- Performance Optimisation: Monitor and enhance the performance of data systems to ensure minimal downtime and fast query responses.
- Automation and Tools: Identify opportunities for automation and recommend tools to improve data engineering workflows.
- Documentation: Maintain detailed technical documentation for all solutions and processes.
- Programming: Proficiency in Python, Java, Scala, or similar languages.
- Big Data Technologies: Hands-on experience with big data tools e.g. (Databricks, Apache Spark, Hadoop).
- Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks.
- Expertise in relational databases (e.g. postgres, sql server).
- Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend.
- Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design.
- Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment.
- 2+ years of experience in data engineering or a similar role.
- Proven track record of delivering data solutions in a consulting or client-facing environment is a plus.
- Experience with Agile or Scrum methodologies is beneficial.
- Strong problem-solving and analytical thinking abilities.
- Excellent communication skills to explain complex technical concepts to non-technical stakeholders.
- A team-oriented mindset with a focus on collaboration and adaptability.
Optima Partners is an advanced data and business consultancy headquartered in Edinburgh, UK. We are a practitioner-led organisation that collaborates with top consumer brands to drive transformation and foster customer-centricity through our expertise in customer strategy, innovative design, and advanced data science and engineering.
We help our clients get closer to their customers, to truly understand them, and deliver exactly the right products, engagement, and experiences across all channels and interactions. We specialise in unlocking latent value within organizations through a three-pronged approach that focuses on identifying and enhancing value for customers, within the customer base, and within the business itself. In doing so, we foster sustainable value, paving the way for consistent business growth.
We work with leading consumer brands to tackle and overcome complex business and customer problems to drive transformation and champion customer-centric agendas. We are proud to include some of the leading UK and global brands among our current clients such as Lloyds Banking Group, NatWest Group, Bank of Ireland, Nationwide, Aviva, Biogen, Eon Next, OVO, Virgin Media O2, BT, HMD Global, Centrica, and GSK. We are obsessive about delivering value for our clients and work in a collaborative, engaged, and creative way with our colleagues and clients. We strive to support the transition of knowledge and capability into strategic teams.
Core Data Engineer employer: Optima Partners
Contact Detail:
Optima Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Core Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Apache Spark, and cloud platforms like AWS or Azure. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness for the role.
✨Tip Number 2
Engage with the data engineering community online. Join forums, attend webinars, or participate in local meetups to network with professionals in the field. This can provide you with insights into industry trends and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those that involved data pipelines or ETL processes. Be ready to explain your problem-solving approach and how you collaborated with team members to achieve successful outcomes.
✨Tip Number 4
Showcase your adaptability and eagerness to learn during interviews. Optima Partners values continuous learning, so expressing your enthusiasm for professional development and your willingness to tackle new challenges can set you apart from other candidates.
We think you need these skills to ace Core Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly focusing on your skills with programming languages like Python or Java, and any big data technologies you've worked with. Customise your CV to reflect the specific requirements mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the Core Data Engineer role at Optima Partners. Discuss your previous experiences in designing data pipelines and collaborating with cross-functional teams, and explain how these experiences make you a great fit for the position.
Highlight Technical Skills: In your application, emphasise your technical skills related to data architecture, ETL/ELT processes, and cloud platforms. Mention any specific tools or technologies you are proficient in, such as AWS, Apache Spark, or Snowflake, to demonstrate your capability in handling the responsibilities of the role.
Showcase Problem-Solving Abilities: Provide examples in your application that illustrate your problem-solving and analytical thinking skills. Describe situations where you successfully tackled complex data challenges, as this will resonate well with the company's focus on delivering impactful solutions.
How to prepare for a job interview at Optima Partners
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in programming languages like Python, Java, or Scala. Highlight any hands-on experience with big data technologies such as Databricks or Apache Spark, and be ready to explain how you've used these tools in past projects.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical thinking and problem-solving skills. Prepare examples from your previous work where you successfully tackled complex data challenges, showcasing your ability to think critically and find effective solutions.
✨Emphasise Collaboration Experience
Since the role involves working within multi-disciplinary teams, share experiences where you've collaborated with data scientists, analysts, or other stakeholders. Highlight your communication skills and how you adapt to different team dynamics.
✨Prepare for Scenario-Based Questions
Anticipate scenario-based questions that may ask how you would approach specific data engineering tasks, such as designing a data pipeline or optimising performance. Think through your thought process and be ready to articulate your approach clearly.