Core Data Engineer

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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.

• 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, Big Query 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 organisations 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…